A fuzzy cognitive map approach to support urban design

Xirogiannis, George; Stefanou, Joseph; Glykas, Michael

doi:10.1016/s0957-4174(03)00140-4

Cited by 87 publications

(30 citation statements)

References 16 publications

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“…Creativity techniques have been applied in various approaches in combination with FCMs (e.g., Eppler [7], Kontogianni et al [14]), in scenario development (e.g., Stylios and Groumpos [23]) or for support in decision-making (e.g., Xirogiannies et al [27]). Although this combination has previously been researched, there is still potential to elaborate it further.…”

Section: The Conceptual Frameworkmentioning

confidence: 99%

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

D’Onofrio

Portmann

Kaltenrieder

et al. 2017

The Application of Fuzzy Logic for Managerial Decision Making Processes

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Abstract. This paper presents a conceptual approach to enhance knowledge management by synchronizing mind maps and fuzzy cognitive maps. Using mind maps takes advantage of human creativity, while fuzzy cognitive maps can store and retrieve information expressed in natural language. Applying the concepts of cognitive computing makes it possible to gather and extract relevant information from a data pool. Therefore, this approach is intended to provide a framework that enhances knowledge management. To demonstrate the potential of this framework, a use case concerning the development of a smart city app is presented.

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Section: The Conceptual Frameworkmentioning

confidence: 99%

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

D’Onofrio

Portmann

Kaltenrieder

et al. 2017

The Application of Fuzzy Logic for Managerial Decision Making Processes

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“…Research [52] proposed the use of FCM a tool to model emotional behavior of virtual actors improvising in free interaction within the framework of a "nouvelle vague" scenario, and discussed the problem of delocalizing each agent level to model autonomous agents within a virtual world. Recent research adopted FCMs to support the core activities of highly technical functions like urban design [66]. Summarizing, FCMs can contribute to the construction of more intelligent systems, since the more intelligent a system becomes, the more symbolic and fuzzy its representations become.…”

Section: Fuzzy Cognitive Maps (Fcms) 1) Definitions and Algorithmsmentioning

confidence: 99%

Fuzzy Cognitive Maps in Business Analysis and Performance-Driven Change

Xirogiannis

Glykas

2004

IEEE Trans. Eng. Manage.

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Abstract-Business process reengineering (BPR) has made a significant impact on managers and academics. Despite the rhetoric surrounding BPR, articulated mechanisms, which support reasoning on the effect of the redesign activities to the performance of the business model, are still emerging. This paper describes an attempt to build and operate such a reasoning mechanism as a novel supplement to performance-driven change (PDC) exercises. This new approach proposes the utilization of the fuzzy causal characteristics of fuzzy cognitive maps (FCMs) as the underlying methodology in order to generate a hierarchical and dynamic network of interconnected performance indicators. By using FCMs, the proposed mechanism aims at simulating the operational efficiency of complex process models with imprecise relationships to quantify the impact of performance-driven reengineering activities. This research also establishes generic maps that supplement the strategic planning and business analysis phases of typical redesign projects in order to implement the integration of hierarchical FCMs into PDC activities. Finally, this paper discusses experiments with the proposed mechanism and comments on its usability.

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“…FCMs have been integrated with case-based reasoning technique to build organizational memory in the field of knowledge management [41]. Recent research adopted FCMs to support the core activities of highly technical functions like urban design [51]. Summarizing, FCMs can contribute to the construction of more intelligent systems, since the more intelligent a system becomes, the more symbolic and fuzzy representations it utilizes.…”

Section: Applications Of Fuzzy Cognitive Mapsmentioning

confidence: 99%

A soft knowledge modeling approach for geographically dispersed financial organizations

Glykas

Xirogiannis

2004

Soft Comput

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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 characteristics of Fuzzy Cognitive Maps (FCMs). By using FCMs, the proposed mechanism generates a hierarchical and dynamic network of interconnected financial knowledge concepts, simulates the operational efficiency of distributed organizational models with imprecise relationships and quantifies the impact of geographically dispersed activities to the overall business performance. Generic adaptive maps offer an alternative approach to financial management based on strategic level knowledge modeling and integrate hierarchical FCMs into the decision making model of typical financial sector enterprises. Finally, this paper discusses experiments with the proposed mechanism and comments on its usability.

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A fuzzy cognitive map approach to support urban design

Cited by 87 publications

References 16 publications

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps

Fuzzy Cognitive Maps in Business Analysis and Performance-Driven Change

A soft knowledge modeling approach for geographically dispersed financial organizations

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