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Analytic Hierarchy Process Based on Fuzzy Simulation
The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05., 2005The analytic hierarchy process based on fuzzy simulation (FSAHP) is proposed in this paper. The weights of criteria and performance of alternatives are represented by the fuzzy linguistic variables, which are characterized as triangular fuzzy variables.
Yufu Ning, Wansheng Tang, Yunqi Zhang
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Fuzzy Analytic Hierarchy Process Based on Graphical Components
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021Many decision-making problems are solved using well-known Analytic Hierarchy Process (AHP). It is a tool to prioritize, rank, or choose from a set of alternatives. Also, its fuzzy version has been widely propagated and popular as well as still examined in a research community.
Michal Walczuk, Pawel Karczmarek
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Fuzzy logic modifications of the Analytic Hierarchy Process
Insurance: Mathematics and Economics, 2017The Analytic Hierarchy Process (AHP) is one of the key tools of strategic decision making processes, based on mathematics and psychology. Rather than prescribing a ``correct'' decision, the AHP helps decision makers to find the one that suits best their goal and their understanding of the problem.
Shapiro, Arnold F., Koissi, Marie-Claire
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Fuzzy portfolio selection using fuzzy analytic hierarchy process
Information Sciences, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fatma Tiryaki, Beyza Ahlatçioglu
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Applying the fuzzy analytical hierarchy process in cognitive cities
Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, 2014This paper introduces a mobile application (app) as the first part of an interactive framework. The framework enhances the inter-action between cities and their citizens, introducing the Fuzzy Analytical Hierarchy Process (FAHP) as a potential information acquisition method to improve existing citizen management en-deavors for cognitive cities. Citizen
Patrick Kaltenrieder +3 more
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WEIGHTED PRIORITIZATION MODELS IN THE FUZZY ANALYTIC HIERARCHY PROCESS
International Journal of Information Technology & Decision Making, 2011The paper deals with the group prioritization problem in the fuzzy analytic hierarchy process. We extend the fuzzy preference programming method to fuzzy group prioritization by introducing important weights of decision-makers (DMs). The modified prioritization problem is represented as a weighted fuzzy goal programming model.
Ludmil Mikhailov +2 more
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A MATRIX METHOD FOR THE FUZZY ANALYTIC HIERARCHY PROCESS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2011This paper proposes a new method for finding fuzzy weights in the fuzzy analytic hierarchy process (FAHP), which fuzzifies the derived formulation of an eigenvector directly. The presented formulation only needs information about the upper triangular matrix and the assumption of the reciprocal matrix in the original AHP is not necessary.
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Analytic Hierarchy Process Based on Fuzzy Analysis
2006Analytic Hierarchical Process(AHP) is proposed to give the priority weight with respect to many items. The priority weights are obtained from the pairwise comparison matrix whose elements are given by a decision maker as crisp values. We extend the crisp pairwise comparisons to fuzzy ones based on uncertainty of human judgement.
Tomoe Entani +2 more
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Towards Group Fuzzy Analytical Hierarchy Process
2018Group decision making takes place in almost all domains. In building construction domain, a team of contractors with disparate specializations collaborate. Little research has been done to propose group decision making technique for this domain. As such, specific teams’ competitiveness enhancements are minimal as it takes more time for individual ...
George Wamamu Musumba, Ruth Diko Wario
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Concept Evaluation Based on Fuzzy Analytic Hierarchy Process
2020 IEEE International Systems Conference (SysCon), 2020The evaluation of new product concepts has fuzzy and multi-dimensional characteristics. This paper proposes a new quantitative comprehensive evaluation method, which integrates analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE) method. In the proposed method, the AHP method is used to determine the weight of different criterions
Zhe Huang, Mickael Gardoni
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