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Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
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Multi-criteria Group Decision Making Using A Modified Fuzzy TOPSIS Procedure
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Expert Systems with Applications: An International Journal
A causal analytical method for group decision-making under fuzzy environment
Expert Systems with Applications: An International Journal
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Piecewise parametric polynomial fuzzy sets
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Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences: an International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Generalized hesitant fuzzy sets and their application in decision support system
Knowledge-Based Systems
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Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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Hi-index | 12.06 |
This paper presents a hybrid fuzzy model for group Multi Criteria Decision Making (MCDM). A modified fuzzy DEMATEL model is presented to deal with the influential relationship between the evaluation criteria. The modified DEMATEL captures such relationship and divides the criteria into two groups, particularly, the cause group and the effect group. The cause group has an influence on the effect group where such influence is used to estimate the criteria weights. In addition, a modified TOPSIS model is proposed to evaluate the criteria against each alternative. Here, a fuzzy distance measure is used in which the distance from the Fuzzy Positive Ideal Solution (FPIS) and Fuzzy Negative Ideal Solution (FNIS) are calculated. The resulted distances were used to calculate the similarity to Ideal and Anti-ideal points. Later, an optimal membership degree (closeness coefficient) of each alternative is computed to estimate to which extent an alternative belongs to both FPIS and FNIS. The closer the degree of membership to FPIS and the farther from FNIS the more preferred the alternative. The membership degree is obtained by the optimization of a defined objective function that measures the degree to which an alternative is similar/dissimilar to the Ideal/Anti-Ideal solutions. The closeness coefficient is used to rank the alternatives. To better have a high contrast between the ranks of alternatives an optimization problem was introduced and solved to maximize the contrast. The presented hybrid model was applied on an industrial case study for the selection of cans supplier/suppliers at Nutridar Factory in Amman-Jordan to demonstrate the proposed model. Finally a sensitivity analysis is introduced to verify the resulting ranks of the available suppliers via testing different values of the used parameters. The sensitivity analysis has shown robust and valid results that are close to real preferences of the consulted experts.