Journal ArticleDOI
Ranking fuzzy cognitive map based scenarios with TOPSIS
TLDR
The proposed methodology aims to bring methodological support to scenario-based decision making in scenario analysis by combining Delphi method, soft computing (fuzzy cognitive maps) and multicriteria (TOPSIS) techniques.Abstract:
Highlights? The methodology proposed is a step forward with regard to the classic tools used in scenarios. ? The proposed approach that it aims to use the scenarios' assessment and ranking as a whole. ? The proposal combine Delphi method, soft computing (fuzzy cognitive maps) and multicriteria (TOPSIS) techniques. Scenarios describe events and situations that would occurred in the future real-world. Policy makers use scenario methods as a tool to build landscapes of possible futures at a national level. Based on these future visions, policy and decision-makers are able to explore different courses of action. In recent years, the number of potential scenario methods and applications is increasing. It is because academics and practitioners are increasing their interest about it. In spite of the success of scenario methods' support, scenario-based decision making still is not a fully structured process.The proposed methodology aims to bring methodological support to scenario-based decision making in scenario analysis. The originality of the proposed approach with respect to other ones is that it aims to use the scenarios' assessment and ranking as a whole. Traditional approaches consider the future impact of each present entity in isolation. This assumption is a simplification of a more complex reality, in which different entities interact with each other. The model that the authors propose allows decision and policy makers to measure the impact of a entity interactions. To reach this aim, the proposal combine Delphi method, soft computing (fuzzy cognitive maps) and multicriteria (TOPSIS) techniques. In addition, a numerical example is developed for illustrating the proposal.read more
Citations
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Journal ArticleDOI
Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015
TL;DR: This study shows the recent developments of TOPSIS approach which are presented by previous scholars and indicated that, previous studies have modifications related to this technique in 2011 more than other years.
Journal ArticleDOI
Prioritizing barriers to adopt circular economy in construction and demolition waste management
TL;DR: In this paper, construction and demolition (CD ineffective CD and using finitely recyclable construction materials) are ranked as three high priority barriers which should be removed before transforming current linear economy to circular economy in C&D waste management.
Journal ArticleDOI
Fuzzy Cognitive Maps for futures studies—A methodological assessment of concepts and methods
Antonie J. Jetter,Kasper Kok +1 more
TL;DR: Based on an extensive literature review and the authors’ experience with FCM projects, this paper provides an introduction of fundamental concepts of FCM modelling, a step-wise description and discussion of practical methods and their pitfalls, and an overview over future research directions for FCM in future studies.
Journal ArticleDOI
Fuzzy cognitive maps for artificial emotions forecasting
TL;DR: This work provides an innovative method for forecasting artificial emotions and designing an affective decision system based on Thayer's emotion model and Fuzzy Cognitive Maps.
Journal ArticleDOI
Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS
Adil Baykasoğlu,İlker Gölcük +1 more
TL;DR: A new fuzzy Multiple-Attribute Decision Making (MADM) model is developed by integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy Cognitive Maps (FCMs) to demonstrate its applicability.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book
Multiple Attribute Decision Making: Methods and Applications
TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Book
Decision-making in a fuzzy environment
Richard Bellman,Lotfi A. Zadeh +1 more
TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Journal ArticleDOI
An Experimental Application of the Delphi Method to the Use of Experts
Norman Crolee Dalkey,Olaf Helmer +1 more
TL;DR: The DELPHI method was devised in order to obtain the most reliable opinion consensus of a group of experts by subjecting them to a series of questionnaires in depth interspersed with controlled opinion feedback as mentioned in this paper.
Journal ArticleDOI
Fuzzy cognitive maps
TL;DR: A fuzzy causal algebra for governing causal propagation on FCMs is developed and it allows knowledge bases to be grown by connecting different FCMs.
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