Papers by George Xirogiannis
Lecture Notes in Computer Science, 2004
Despite the rhetoric surrounding performance-driven change (PDC), articulated mechanisms that sup... more Despite the rhetoric surrounding performance-driven change (PDC), articulated mechanisms that support intelligent reasoning on the effect of the re-design activities to the performance of a business model are still emerging. This paper describes an attempt to build and operate such a reasoning mechanism as a decision support supplement to PDC exercises. Fuzzy Cognitive Maps (FCMs) are employed as the underlying performance modeler in order to simulate the operational efficiency of complex and imprecise ...
Studies in Fuzziness and Soft Computing, 2010
This paper addresses the problem of designing an "intelligent" decision support methodology tool ... more This paper addresses the problem of designing an "intelligent" decision support methodology tool to act as a back end to financial planning. The methodology tool proposes a novel approach to supplementing typical financial strategy formulation projects by utilizing the fuzzy causal characteristics of Fuzzy Cognitive Maps (FCMs) to generate a hierarchical and dynamic network of interconnected profit and loss (P&L) concepts. By using FCMs, the mechanism simulates the efficiency of complex hierarchical financial models with imprecise relationships and external stimuli while quantifying the impact of strategic changes to the overall P&L status. Generic maps that supplement the decision making process demonstrate a roadmap for integrating hierarchical FCMs into the P&L model of typical financial sector enterprises. Preliminary experiments indicate that ex ante reasoning of the impact of strategic changes (actual or hypothetical) to the status of financial performance can be effective and realistic, without employing detailed P&L numerical calculations.
Soft Computing, 2005
Fund management is a major function for most financial sector enterprises with geographically dis... more Fund management is a major function for most financial sector enterprises with geographically dispersed activities. The risk associated to such managerial decisions affects directly the continuity, profitability and reputation of the enterprise. This paper presents a knowledge modeling methodology tool to act as a decision support mechanism for geographically dispersed financial enterprises. The underlying research addresses the problem of financial information capture and representation by utilizing the soft computing ...
New Generation Computing, 2002
Knowledge and Process Management, 2004
Abstract This paper addresses the problem of designing a knowledge management methodology tool to... more Abstract This paper addresses the problem of designing a knowledge management methodology tool to act as a decision support mechanism for geographically dispersed financial enterprises. The underlying research addresses the problem of information capture and representation in financial institutions in order to provide an implementation of the virtuous cycle of knowledge flow. The proposed methodology tool utilizes the fuzzy causal characteristics of Fuzzy Cognitive Maps (FCMs) to generate a hierarchical and dynamic ...
Expert Systems with Applications, 2007
Expert Systems with Applications, 2008
Despite the extensive research in human capital management and performance measurement, intellige... more Despite the extensive research in human capital management and performance measurement, intelligent treasoning mechanisms, which integrate human resource (HR) practices into strategic-level shareholder decisions, are still emerging. This paper discusses a novel approach of designing a decision-modeling tool, which assesses the impact of contemporary human resource management (HRM) practices to the shareholder value and satisfaction. The underlying research addresses the problem of establishing HRM interrelationships in order to drive the overall business performance from the shareholder value perspective. The proposed methodology tool utilizes the fuzzy causal characteristics of fuzzy cognitive maps (FCMs) to generate a hierarchical and dynamic network of interconnected HR performance drivers. The intelligent computing characteristics of FCMs are also employed to establish a dynamic feedback and bi-directional alignment of HRM practices and strategic improvement. Finally, this research provides a practical insight on the applicability of soft approaches in capturing and illustrating the effect of HRM practices.
Expert Systems with Applications, 2004
This paper is concerned with proposing a fuzzy cognitive map (FCM) driven approach for implementi... more This paper is concerned with proposing a fuzzy cognitive map (FCM) driven approach for implementing expert decision support in the area of urban design. Previous research activities modeled a knowledge-based system using first order predicate calculus. The current approach utilizes the inherent analogies between SLD resolution trees and FCMs and proposes the generation of multi-branch map hierarchies in order to model the disjointed conjuncts of the logic-based rules. This research proposes specific algorithms for interpreting the logic-based rules to FCMs as well as specific algorithms and formulas for calculating the values of multi-branch map hierarchies. Finally, this paper presents preliminary experiments and comments on the usefulness of the proposed methodology tool.
IEEE Transactions on Engineering Management, 2004
All in-text references underlined in blue are linked to publications on ResearchGate, letting you... more All in-text references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
Abstract. Distributed execution of logic programs on heterogeneous processors requires e cient ta... more Abstract. Distributed execution of logic programs on heterogeneous processors requires e cient task distribution and engine synchronization to exploit the potential for performance. This paper presents a task-driven scheduling technique to distribute tasks to engines e ectively. It consists of a dynamic hierarchy of distributed scheduling components able to adapt to program characteristics and the platform con guration and to control the considerable communication costs while exploiting good degrees of parallelism. It also incorporates an abort & failure mechanism to reduce speculative work and keep engines as busy as possible. Several experimental results illustrate the performance of the model. 1
Distributed execution of logic programs on heterogeneous processors requires efficient task distr... more Distributed execution of logic programs on heterogeneous processors requires efficient task distribution and engine synchronization to exploit the potential for performance. This paper presents a task-driven scheduling technique to distribute tasks to engines effectively. It consists of a dynamic hierarchy of distributed scheduling components able to adapt to program characteristics and the platform configuration and to control the considerable communication costs while exploiting good degrees of parallelism. It also incorporates an abort & failure mechanism to reduce speculative work and keep engines as busy as possible. Several experimental results illustrate the performance of the model.
Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183), 1998
Distributed e x e cution of logic programs requires a match of granularity between a program and ... more Distributed e x e cution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance fully. This paper presents methods to control the granularity of tasks on distributed heterogeneous processors e ectively. It considers the characteristics of such platforms and relates the amount of local computation with the signi cant communication overhea d s b y i n t r oducing the notion of a c ollection of parallel tasks. The experimental results indicate that the proposed c ontrols can model all kinds of predicates recursive, mutually recursive etc. satisfactorily and improve the performance of various forms of parallelism AND, OR, combinations.
Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183), 1998
Distributed e x e cution of logic programs requires a match of granularity between a program and ... more Distributed e x e cution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance fully. This paper presents methods to control the granularity of tasks on distributed heterogeneous processors e ectively. It considers the characteristics of such platforms and relates the amount of local computation with the signi cant communication overhea d s b y i n t r oducing the notion of a c ollection of parallel tasks. The experimental results indicate that the proposed c ontrols can model all kinds of predicates recursive, mutually recursive etc. satisfactorily and improve the performance of various forms of parallelism AND, OR, combinations.
Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183), 1998
Distributed e x e cution of logic programs requires a match of granularity between a program and ... more Distributed e x e cution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance fully. This paper presents methods to control the granularity of tasks on distributed heterogeneous processors e ectively. It considers the characteristics of such platforms and relates the amount of local computation with the signi cant communication overhea d s b y i n t r oducing the notion of a c ollection of parallel tasks. The experimental results indicate that the proposed c ontrols can model all kinds of predicates recursive, mutually recursive etc. satisfactorily and improve the performance of various forms of parallelism AND, OR, combinations.
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Papers by George Xirogiannis