In this article, we introduce the notion of the complementary soft neighborhood and present three... more In this article, we introduce the notion of the complementary soft neighborhood and present three kinds of covering soft rough set ($$\mathcal {CSR}$$ CSR ) models. The basic properties of these models are investigated. The relationships among these models are also discussed. Moreover, we establish the topological approach to $$\mathcal {CSR}$$ CSR say, $$\varDelta $$ Δ -topological spaces (i.e., $$\varDelta $$ Δ -TS). Hence, the topological properties for $$\varDelta $$ Δ -TS models such as $$\varDelta $$ Δ -open sets, $$\varDelta $$ Δ -closed sets, $$\varDelta $$ Δ -interior, $$\varDelta $$ Δ -closure, $$\varDelta $$ Δ -boundary, $$\varDelta $$ Δ -neighborhood and $$\varDelta $$ Δ -limit point are studied and the relationships between them are given. Finally, we make use of an algorithm for these proposed models to deal with uncertainties for solving the MGDM problems using the constructed topologies.
This study investigated the impact of microwave treatment on the formation of starch-lipid comple... more This study investigated the impact of microwave treatment on the formation of starch-lipid complexes, and physicochemical properties of wheat starch (WS) fortified with lipids, such as lauric acid (LA), glycerol monolaurate (GML), and stearic acid (SA). Specimens were prepared using a conventional water bath and microwave heating and evaluated using macrostructural and microstructural analyses. Iodine staining and scanning electron microscopy revealed interplay between WS and LA. Diffraction peaks around 7.5°, 13°, and 20° and the absence of the absorption band in the 2850 cm-1 were observed in microwave treated WS-lipid samples than conventional water bath samples. Further, more type I complexes were formed in WS-LA microwave-assisted samples, as demonstrated by differential scanning calorimetry. Additionally, more resistant starch was formed in specimens treated by microwave than water bath treated counterparts, the finding that was proved by in vitro enzymatic hydrolysis. In short, the current study may suggest the applications of microwave treatment in foods for hypoglycemia.
Aim: is to evaluate the insertion torque and initial stability of solid tapered threaded implants... more Aim: is to evaluate the insertion torque and initial stability of solid tapered threaded implants versus corevent implant versus double grooved threaded implants. Methodology: Blocks of fresh bovine bone samples were collected for the study. The bone blocks were stabilized by embedding them in dental plaster. A total of 24 implants were used for this study, a) Solid tapered threaded implants; b) double grooved threaded implants, c) Core-vent tapered threaded implants. Implant from each group was inserted in each bone block at insertion torque pre adjusted manually with a ratchet (cod BM-0292) and the maximum insertion torque was 90N/cm, firstly each implant from each group was inserted at torque 30N/cm then calibrate the part of implant inserted within bone by calibrating the part of implant outside the bone using digital caliber and subtracting the measure from whole implant length 12 mm, the same steps are done at torque 40N/cm and at torque 50N/cm. The removal torque of each impl...
Journal of Al-Azhar University Engineering Sector, 2022
e-Learning is become the education method of the future. Lecture videos are powerful and expressi... more e-Learning is become the education method of the future. Lecture videos are powerful and expressive learning resources that are commonly and extensively used in e-learning. However, one lecture video usually covers many topics/subtopics or even many conceptual instructional roles for a single topic. In adaptive e-Learning, the e-Learning of the future, requires small granular objects (Micro Learning Objects MLO) for more flexible and adaptive presentation of the lecture, hence, arose is the need for splitting this lecture video into many MLOs each playing a specific instructional role in the lecture. This research is concerned with the automatic extraction of MLOs out of existing lecture videos also with automatic annotation with the appropriate metadata attributes needed for the appropriate selection of the MLO by the adaptive process. This article, however, assumes that the lecture video is based on PowerPoint (or presentation) slides that are also available to the proposed MLO extraction process.
Pythagorean fuzzy sets (briefly, PFSs) were created as an upgrade to intuitionistic fuzzy sets (b... more Pythagorean fuzzy sets (briefly, PFSs) were created as an upgrade to intuitionistic fuzzy sets (briefly, IFSs) which helped to address some problems that IFSs couldn’t solve. The definition of q-rung orthopair fuzzy sets (briefly, q-ROFS) is then declared to generalize and solve PFS and IFS failures. Using the concept of PF $$\beta $$ β -neighborhood, Zhan et al. defined the description of the covering through the Pythagorean fuzzy rough set (briefly, CPFRS). Hussain et al. also developed the concept of q-ROF $$\beta $$ β -neighborhood to build the concept of covering through q-rung orthopair fuzzy rough sets (Cq-ROFRS). To enhance the results in Zhan et al.’s and Hussain et al.’s method and in a related context, the concept of PF complementary $$\beta $$ β -neighborhood is constructed. Hence, using PF $$\beta $$ β -neighborhood and PF complementary $$\beta $$ β -neighborhood, three novel kinds of CPFRS are investigated and the related characteristics are analyzed. The interrelation...
International Journal of Surgery Case Reports, 2021
INTRODUCTION AND IMPORTANCE The computer-guided approach for the patient-specific TMJ replacement... more INTRODUCTION AND IMPORTANCE The computer-guided approach for the patient-specific TMJ replacement is considered an ultimate reliable option in advanced cases. However, dislocation of the condylar head could happen with the concave fossa design. A flat design was described and used in this case. CASE PRESENTATION A 15 years old male patient with mandibular asymmetry and class IV recurrent ankylosis of the right TMJ received a patient-specific artificial joint with computer-guided gap arthroplasty and orthognathic corrective mandibular surgery for the left side. The fossa component was made entirely flat, and the patient was followed up over the next year. CLINICAL DISCUSSION Customized TMJ prosthetic solutions are reliable in advanced cases, especially when facial corrections are indicated; however, the commonly used concave design showed reported dislocations requiring some design modifications as proposed in the presented case. CONCLUSION The flat fossa design of the artificial TMJ secures the same results as the anatomical fossa design without the incidence of dislocation.
Papillon–Lefevre syndrome (PLS) is a rare genodermatosis caused by mutation in CTSC gene which is... more Papillon–Lefevre syndrome (PLS) is a rare genodermatosis caused by mutation in CTSC gene which is expressed in epithelial cells as well as in various immune cells including PMNs, macrophages, and their precursors. Such mutation results in palmoplantar hyperkeratosis, early onset periodontitis, susceptibility to infection and rarely mucocutaneous carcinomas. In this study, we aim to perform a systematic review on the incidence of oral squamous cell carcinoma in the association with Papillon-Lefevre syndrome and to introduce the first case report. An electronic search without date and language restrictions in three data bases, Pubmed, Cochrane Library, and Google Scholar in addition to a hand-searching were performed in August 2018. The review of the current literature revealed that such association has not been previously reported. We concluded that patients with Papillon-Lefevre syndrome are susceptible to develop different mucocutaneous carcinomas including OSCC.
The notions of the fuzzy β -minimal and maximal descriptions were established by Yang et al. (Yan... more The notions of the fuzzy β -minimal and maximal descriptions were established by Yang et al. (Yang and Hu, 2016 and 2019). Recently, Zhang et al. (Zhang et al. 2019) presented the fuzzy covering via ℐ , T -fuzzy rough set model ( FC ℐ T FRS ), and Jiang et al. (Jiang et al., in 2019) introduced the covering through variable precision ℐ , T -fuzzy rough sets ( CVP ℐ T FRS ). To generalize these models in (Jiang et al., 2019 and Zhang et al. 2019), that is, to improve the lower approximation and reduce the upper approximation, the present paper constructs eight novel models of an FC ℐ T FRS based on fuzzy β -minimal (maximal) descriptions. Characterizations of these models are discussed. Further, eight types of CVP ℐ T FRS are introduced, and we investigate the related properties. Relationships among these models are also proposed. Finally, we illustrate the above study with a numerical example that also describes its practical application.
Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ -neighborhood wer... more Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ -neighborhood were established by Zhan et al. model. Also, Ma et al. gave the definition of complementary fuzzy γ -neighborhood with reflexivity. In a related context, we used the concepts by Ma et al. to construct three new kinds of covering-based variable precision fuzzy rough sets. Furthermore, we establish the relevant characteristics. Also, we study the relationships between Zhan’s model and our three models. Finally, we introduce a MADM approach to make a decision on a real problem.
The aim of this paper is to introduce and study different kinds of fuzzy soft β-neighborhoods cal... more The aim of this paper is to introduce and study different kinds of fuzzy soft β-neighborhoods called fuzzy soft β-adhesion neighborhoods and to analyze some of their properties. Further, the concepts of soft β-adhesion neighborhoods are investigated and the related properties are studied. Then, we present new kinds of lower and upper approximations by means of different fuzzy soft β-neighborhoods. The relationships among our models (i.e., Definitions 3.9, 3.12, 3.15 and 3.18) and Zhang models [48] are also discussed. Finally, we construct an algorithm based on Definition 3.12, when k = 1 to solve the decision-making problems and illustrate its applicability through a numerical example.
In this paper, with the aid of fuzzy soft $$\beta $$ -neighborhoods, we introduce fuzzy soft cove... more In this paper, with the aid of fuzzy soft $$\beta $$ -neighborhoods, we introduce fuzzy soft covering-based multi-granulation fuzzy rough set models. We examine some of the relevant properties of fuzzy soft covering based on optimistic, pessimistic, and variable precision multi-granulation fuzzy rough set models. Then, we give fuzzy soft coverings based on $$\psi $$ -optimistic and $${\mathscr {D}}$$ -optimistic ( $$\psi $$ -pessimistic and $${\mathscr {D}}$$ -pessimistic) multi-granulation fuzzy rough sets from fuzzy soft measures. It also discusses the interactions between these forms of fuzzy soft coverings based on multi-granulation fuzzy rough sets. Eventually, we apply the proposed models for solving MAGDM problems. The effectiveness and feasibility of our approach are noted from the introduced comparisons between our method and some methods given in the previous studies.
Recently, the concept of a fuzzy αneighborhood operator with reflexivity was established and a fu... more Recently, the concept of a fuzzy αneighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy αneighborhood operator was defined by Zhang et al. As a generalization of Zhang et al. models, this article aims to introduce the notion of a complementary fuzzy α-neighborhood operator with reflexivity. Also, three new kinds of a fuzzy rough set covering based on a fuzzy αneighborhood operator are constructed and some of their properties are discussed. Further, the relationships between these models are studied. Several new kinds of a fuzzy rough set covering based variable precision are put forward and the relevant properties are constructed. Finally, an application to MADM to solve realistic problems is illustrated. INDEX TERMS Complementary fuzzy α-neighborhood operator, fuzzy rough set covering, fuzzy rough set covering based variable precision, multi-attribute decision making.
The notion of a q-rung orthopair fuzzy soft rough set (q ROFSRS) appeared as an extension of q-ru... more The notion of a q-rung orthopair fuzzy soft rough set (q ROFSRS) appeared as an extension of q-rung orthopair fuzzy set (q ROFS) and q-rung orthopair fuzzy soft set (q ROFSS) with the aid of rough set (RS) definition. Thus, q ROFSRS and m-polar fuzzy set (m PFS) are convenient to deal with uncertain knowledge which helps us to solve many problems in decision making. In this paper, we define the soft rough q-rung orthopair m-polar fuzzy sets (q RO m PFS) and q-rung orthopair m-polar fuzzy soft rough sets (q RO m PFSRS) through crisp soft and q-rung orthopair (q-RO) m-polar fuzzy soft approximation space. The related characteristics of these models are also studied. Then, we construct two new algorithms for these models to solve MADM issues. The successful application and corresponding comparative analyses proves that our proposed models are rational and effective. INDEX TERMS q-rung orthopair fuzzy soft rough set, m-polar fuzzy set, soft rough q-rung orthopair m-polar fuzzy sets, q-rung orthopair m-polar fuzzy soft rough sets, multi-attribute decision making. AHMED MOSTAFA KHALIL received the M.Sc. degree in pure mathematics from Al-Azhar University, Egypt, and the Ph.D. degree in fundamental mathematics from Shaanxi Normal University, China. He is currently a Lecturer with the Department of Mathematics, Faculty of Science, Al-Azhar University. He has published several technical papers in refereed international journals,
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021
In this paper, we present a time series forecasting framework that uses deep learning to predict ... more In this paper, we present a time series forecasting framework that uses deep learning to predict the environmental attributes that affect the olive fruit farming. The proposed framework is composed of two phases: a data preprocessing phase and a prediction phase. In the prediction phase, we use both the Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) deep learning approaches to develop two models for predicting the environmental attributes. We evaluate the performance of the framework using real-life agriculture data collected for twenty years from a Spanish olive grove. Our results show that proposed LSTM and GRU models achieve remarkable accuracy, measured through different metrics, in predicting the temperature and relative humidity for the upcoming year based on historical data. We further use the predicted temperature in calculating the degree-day metric used to define the development phases of the olive fruit fly. This allows for foreseeing the best times to apply the counter measures to prevent the outbreak of such a fatal pest that affects a major Mediterranean crop: olive.
Journal of Al-Azhar University Engineering Sector, 2021
e-Learning is becoming the learning system of the future. However, many recent researches suggest... more e-Learning is becoming the learning system of the future. However, many recent researches suggested replacing the "one size fits all" teaching model with the smarter model of adaptive learning in which the interpersonal differences between learners are considered the main shapers of lesson for a particular student. However, the main hurdle for the adaptive model is building the repository of micro learning objects (MLOs) with reasonable sizes suitable for reassembling into lessons in a way that is more suitable for a particular student. The process of designing such MLOs is expensive and time-consuming, reasons with the least effect of dampening the model to the point that it may collapse. Noteworthy, there is a wealth of digital learning contents and open-source educational curricula available online, but in the large granular traditional format. Therefore, this research proposes a Text processing intelligent framework for automatically identifying, extracting, and, annotating, those MLOs out of open digital video contents and PowerPoint courses, which are the most popular media types.
This paper aims to propose the notion of Type-1 single-valued neutrosophic complementary β -neigh... more This paper aims to propose the notion of Type-1 single-valued neutrosophic complementary β -neighborhood (briefly, Type-1 SVN complementary β -neighborhood) and use it to introduce a novel class of 1-single-valued neutrosophic β -covering rough set (briefly, 1-SVN β -CRS). Then, we will merge the 1-SVN β -neighborhood and 1-SVN complementary β -neighborhood to create new two models of 1-SVN β -CRS. Furthermore, we will discuss the relationships between the present work and Wang and Zhang’s work. For further study on Type-2 Wang and Zhang’s models, we will define the 2-SVN complementary β -neighborhood and use it to present a novel class of 2-SVN β -CRS. Also, we combine the 2-SVN β -neighborhood and 2-SVN complementary β -neighborhood to investigate the new two models of 2-SVN β -CRS. Lately, we will demonstrate two illustrative examples as real problems to show the differences between two of our approaches and Wang and Zhang’s approach.
In this article, we introduce the notion of the complementary soft neighborhood and present three... more In this article, we introduce the notion of the complementary soft neighborhood and present three kinds of covering soft rough set ($$\mathcal {CSR}$$ CSR ) models. The basic properties of these models are investigated. The relationships among these models are also discussed. Moreover, we establish the topological approach to $$\mathcal {CSR}$$ CSR say, $$\varDelta $$ Δ -topological spaces (i.e., $$\varDelta $$ Δ -TS). Hence, the topological properties for $$\varDelta $$ Δ -TS models such as $$\varDelta $$ Δ -open sets, $$\varDelta $$ Δ -closed sets, $$\varDelta $$ Δ -interior, $$\varDelta $$ Δ -closure, $$\varDelta $$ Δ -boundary, $$\varDelta $$ Δ -neighborhood and $$\varDelta $$ Δ -limit point are studied and the relationships between them are given. Finally, we make use of an algorithm for these proposed models to deal with uncertainties for solving the MGDM problems using the constructed topologies.
This study investigated the impact of microwave treatment on the formation of starch-lipid comple... more This study investigated the impact of microwave treatment on the formation of starch-lipid complexes, and physicochemical properties of wheat starch (WS) fortified with lipids, such as lauric acid (LA), glycerol monolaurate (GML), and stearic acid (SA). Specimens were prepared using a conventional water bath and microwave heating and evaluated using macrostructural and microstructural analyses. Iodine staining and scanning electron microscopy revealed interplay between WS and LA. Diffraction peaks around 7.5°, 13°, and 20° and the absence of the absorption band in the 2850 cm-1 were observed in microwave treated WS-lipid samples than conventional water bath samples. Further, more type I complexes were formed in WS-LA microwave-assisted samples, as demonstrated by differential scanning calorimetry. Additionally, more resistant starch was formed in specimens treated by microwave than water bath treated counterparts, the finding that was proved by in vitro enzymatic hydrolysis. In short, the current study may suggest the applications of microwave treatment in foods for hypoglycemia.
Aim: is to evaluate the insertion torque and initial stability of solid tapered threaded implants... more Aim: is to evaluate the insertion torque and initial stability of solid tapered threaded implants versus corevent implant versus double grooved threaded implants. Methodology: Blocks of fresh bovine bone samples were collected for the study. The bone blocks were stabilized by embedding them in dental plaster. A total of 24 implants were used for this study, a) Solid tapered threaded implants; b) double grooved threaded implants, c) Core-vent tapered threaded implants. Implant from each group was inserted in each bone block at insertion torque pre adjusted manually with a ratchet (cod BM-0292) and the maximum insertion torque was 90N/cm, firstly each implant from each group was inserted at torque 30N/cm then calibrate the part of implant inserted within bone by calibrating the part of implant outside the bone using digital caliber and subtracting the measure from whole implant length 12 mm, the same steps are done at torque 40N/cm and at torque 50N/cm. The removal torque of each impl...
Journal of Al-Azhar University Engineering Sector, 2022
e-Learning is become the education method of the future. Lecture videos are powerful and expressi... more e-Learning is become the education method of the future. Lecture videos are powerful and expressive learning resources that are commonly and extensively used in e-learning. However, one lecture video usually covers many topics/subtopics or even many conceptual instructional roles for a single topic. In adaptive e-Learning, the e-Learning of the future, requires small granular objects (Micro Learning Objects MLO) for more flexible and adaptive presentation of the lecture, hence, arose is the need for splitting this lecture video into many MLOs each playing a specific instructional role in the lecture. This research is concerned with the automatic extraction of MLOs out of existing lecture videos also with automatic annotation with the appropriate metadata attributes needed for the appropriate selection of the MLO by the adaptive process. This article, however, assumes that the lecture video is based on PowerPoint (or presentation) slides that are also available to the proposed MLO extraction process.
Pythagorean fuzzy sets (briefly, PFSs) were created as an upgrade to intuitionistic fuzzy sets (b... more Pythagorean fuzzy sets (briefly, PFSs) were created as an upgrade to intuitionistic fuzzy sets (briefly, IFSs) which helped to address some problems that IFSs couldn’t solve. The definition of q-rung orthopair fuzzy sets (briefly, q-ROFS) is then declared to generalize and solve PFS and IFS failures. Using the concept of PF $$\beta $$ β -neighborhood, Zhan et al. defined the description of the covering through the Pythagorean fuzzy rough set (briefly, CPFRS). Hussain et al. also developed the concept of q-ROF $$\beta $$ β -neighborhood to build the concept of covering through q-rung orthopair fuzzy rough sets (Cq-ROFRS). To enhance the results in Zhan et al.’s and Hussain et al.’s method and in a related context, the concept of PF complementary $$\beta $$ β -neighborhood is constructed. Hence, using PF $$\beta $$ β -neighborhood and PF complementary $$\beta $$ β -neighborhood, three novel kinds of CPFRS are investigated and the related characteristics are analyzed. The interrelation...
International Journal of Surgery Case Reports, 2021
INTRODUCTION AND IMPORTANCE The computer-guided approach for the patient-specific TMJ replacement... more INTRODUCTION AND IMPORTANCE The computer-guided approach for the patient-specific TMJ replacement is considered an ultimate reliable option in advanced cases. However, dislocation of the condylar head could happen with the concave fossa design. A flat design was described and used in this case. CASE PRESENTATION A 15 years old male patient with mandibular asymmetry and class IV recurrent ankylosis of the right TMJ received a patient-specific artificial joint with computer-guided gap arthroplasty and orthognathic corrective mandibular surgery for the left side. The fossa component was made entirely flat, and the patient was followed up over the next year. CLINICAL DISCUSSION Customized TMJ prosthetic solutions are reliable in advanced cases, especially when facial corrections are indicated; however, the commonly used concave design showed reported dislocations requiring some design modifications as proposed in the presented case. CONCLUSION The flat fossa design of the artificial TMJ secures the same results as the anatomical fossa design without the incidence of dislocation.
Papillon–Lefevre syndrome (PLS) is a rare genodermatosis caused by mutation in CTSC gene which is... more Papillon–Lefevre syndrome (PLS) is a rare genodermatosis caused by mutation in CTSC gene which is expressed in epithelial cells as well as in various immune cells including PMNs, macrophages, and their precursors. Such mutation results in palmoplantar hyperkeratosis, early onset periodontitis, susceptibility to infection and rarely mucocutaneous carcinomas. In this study, we aim to perform a systematic review on the incidence of oral squamous cell carcinoma in the association with Papillon-Lefevre syndrome and to introduce the first case report. An electronic search without date and language restrictions in three data bases, Pubmed, Cochrane Library, and Google Scholar in addition to a hand-searching were performed in August 2018. The review of the current literature revealed that such association has not been previously reported. We concluded that patients with Papillon-Lefevre syndrome are susceptible to develop different mucocutaneous carcinomas including OSCC.
The notions of the fuzzy β -minimal and maximal descriptions were established by Yang et al. (Yan... more The notions of the fuzzy β -minimal and maximal descriptions were established by Yang et al. (Yang and Hu, 2016 and 2019). Recently, Zhang et al. (Zhang et al. 2019) presented the fuzzy covering via ℐ , T -fuzzy rough set model ( FC ℐ T FRS ), and Jiang et al. (Jiang et al., in 2019) introduced the covering through variable precision ℐ , T -fuzzy rough sets ( CVP ℐ T FRS ). To generalize these models in (Jiang et al., 2019 and Zhang et al. 2019), that is, to improve the lower approximation and reduce the upper approximation, the present paper constructs eight novel models of an FC ℐ T FRS based on fuzzy β -minimal (maximal) descriptions. Characterizations of these models are discussed. Further, eight types of CVP ℐ T FRS are introduced, and we investigate the related properties. Relationships among these models are also proposed. Finally, we illustrate the above study with a numerical example that also describes its practical application.
Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ -neighborhood wer... more Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ -neighborhood were established by Zhan et al. model. Also, Ma et al. gave the definition of complementary fuzzy γ -neighborhood with reflexivity. In a related context, we used the concepts by Ma et al. to construct three new kinds of covering-based variable precision fuzzy rough sets. Furthermore, we establish the relevant characteristics. Also, we study the relationships between Zhan’s model and our three models. Finally, we introduce a MADM approach to make a decision on a real problem.
The aim of this paper is to introduce and study different kinds of fuzzy soft β-neighborhoods cal... more The aim of this paper is to introduce and study different kinds of fuzzy soft β-neighborhoods called fuzzy soft β-adhesion neighborhoods and to analyze some of their properties. Further, the concepts of soft β-adhesion neighborhoods are investigated and the related properties are studied. Then, we present new kinds of lower and upper approximations by means of different fuzzy soft β-neighborhoods. The relationships among our models (i.e., Definitions 3.9, 3.12, 3.15 and 3.18) and Zhang models [48] are also discussed. Finally, we construct an algorithm based on Definition 3.12, when k = 1 to solve the decision-making problems and illustrate its applicability through a numerical example.
In this paper, with the aid of fuzzy soft $$\beta $$ -neighborhoods, we introduce fuzzy soft cove... more In this paper, with the aid of fuzzy soft $$\beta $$ -neighborhoods, we introduce fuzzy soft covering-based multi-granulation fuzzy rough set models. We examine some of the relevant properties of fuzzy soft covering based on optimistic, pessimistic, and variable precision multi-granulation fuzzy rough set models. Then, we give fuzzy soft coverings based on $$\psi $$ -optimistic and $${\mathscr {D}}$$ -optimistic ( $$\psi $$ -pessimistic and $${\mathscr {D}}$$ -pessimistic) multi-granulation fuzzy rough sets from fuzzy soft measures. It also discusses the interactions between these forms of fuzzy soft coverings based on multi-granulation fuzzy rough sets. Eventually, we apply the proposed models for solving MAGDM problems. The effectiveness and feasibility of our approach are noted from the introduced comparisons between our method and some methods given in the previous studies.
Recently, the concept of a fuzzy αneighborhood operator with reflexivity was established and a fu... more Recently, the concept of a fuzzy αneighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy αneighborhood operator was defined by Zhang et al. As a generalization of Zhang et al. models, this article aims to introduce the notion of a complementary fuzzy α-neighborhood operator with reflexivity. Also, three new kinds of a fuzzy rough set covering based on a fuzzy αneighborhood operator are constructed and some of their properties are discussed. Further, the relationships between these models are studied. Several new kinds of a fuzzy rough set covering based variable precision are put forward and the relevant properties are constructed. Finally, an application to MADM to solve realistic problems is illustrated. INDEX TERMS Complementary fuzzy α-neighborhood operator, fuzzy rough set covering, fuzzy rough set covering based variable precision, multi-attribute decision making.
The notion of a q-rung orthopair fuzzy soft rough set (q ROFSRS) appeared as an extension of q-ru... more The notion of a q-rung orthopair fuzzy soft rough set (q ROFSRS) appeared as an extension of q-rung orthopair fuzzy set (q ROFS) and q-rung orthopair fuzzy soft set (q ROFSS) with the aid of rough set (RS) definition. Thus, q ROFSRS and m-polar fuzzy set (m PFS) are convenient to deal with uncertain knowledge which helps us to solve many problems in decision making. In this paper, we define the soft rough q-rung orthopair m-polar fuzzy sets (q RO m PFS) and q-rung orthopair m-polar fuzzy soft rough sets (q RO m PFSRS) through crisp soft and q-rung orthopair (q-RO) m-polar fuzzy soft approximation space. The related characteristics of these models are also studied. Then, we construct two new algorithms for these models to solve MADM issues. The successful application and corresponding comparative analyses proves that our proposed models are rational and effective. INDEX TERMS q-rung orthopair fuzzy soft rough set, m-polar fuzzy set, soft rough q-rung orthopair m-polar fuzzy sets, q-rung orthopair m-polar fuzzy soft rough sets, multi-attribute decision making. AHMED MOSTAFA KHALIL received the M.Sc. degree in pure mathematics from Al-Azhar University, Egypt, and the Ph.D. degree in fundamental mathematics from Shaanxi Normal University, China. He is currently a Lecturer with the Department of Mathematics, Faculty of Science, Al-Azhar University. He has published several technical papers in refereed international journals,
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2021
In this paper, we present a time series forecasting framework that uses deep learning to predict ... more In this paper, we present a time series forecasting framework that uses deep learning to predict the environmental attributes that affect the olive fruit farming. The proposed framework is composed of two phases: a data preprocessing phase and a prediction phase. In the prediction phase, we use both the Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) deep learning approaches to develop two models for predicting the environmental attributes. We evaluate the performance of the framework using real-life agriculture data collected for twenty years from a Spanish olive grove. Our results show that proposed LSTM and GRU models achieve remarkable accuracy, measured through different metrics, in predicting the temperature and relative humidity for the upcoming year based on historical data. We further use the predicted temperature in calculating the degree-day metric used to define the development phases of the olive fruit fly. This allows for foreseeing the best times to apply the counter measures to prevent the outbreak of such a fatal pest that affects a major Mediterranean crop: olive.
Journal of Al-Azhar University Engineering Sector, 2021
e-Learning is becoming the learning system of the future. However, many recent researches suggest... more e-Learning is becoming the learning system of the future. However, many recent researches suggested replacing the "one size fits all" teaching model with the smarter model of adaptive learning in which the interpersonal differences between learners are considered the main shapers of lesson for a particular student. However, the main hurdle for the adaptive model is building the repository of micro learning objects (MLOs) with reasonable sizes suitable for reassembling into lessons in a way that is more suitable for a particular student. The process of designing such MLOs is expensive and time-consuming, reasons with the least effect of dampening the model to the point that it may collapse. Noteworthy, there is a wealth of digital learning contents and open-source educational curricula available online, but in the large granular traditional format. Therefore, this research proposes a Text processing intelligent framework for automatically identifying, extracting, and, annotating, those MLOs out of open digital video contents and PowerPoint courses, which are the most popular media types.
This paper aims to propose the notion of Type-1 single-valued neutrosophic complementary β -neigh... more This paper aims to propose the notion of Type-1 single-valued neutrosophic complementary β -neighborhood (briefly, Type-1 SVN complementary β -neighborhood) and use it to introduce a novel class of 1-single-valued neutrosophic β -covering rough set (briefly, 1-SVN β -CRS). Then, we will merge the 1-SVN β -neighborhood and 1-SVN complementary β -neighborhood to create new two models of 1-SVN β -CRS. Furthermore, we will discuss the relationships between the present work and Wang and Zhang’s work. For further study on Type-2 Wang and Zhang’s models, we will define the 2-SVN complementary β -neighborhood and use it to present a novel class of 2-SVN β -CRS. Also, we combine the 2-SVN β -neighborhood and 2-SVN complementary β -neighborhood to investigate the new two models of 2-SVN β -CRS. Lately, we will demonstrate two illustrative examples as real problems to show the differences between two of our approaches and Wang and Zhang’s approach.
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