A NOVEL DEFUZZIFYING APPROACH TO CAR EVALUATION AND SELECTION UNDER FUZZY ENVIRONMENT

DOI10.1142/S0218488502001491zbMath1077.91505OpenAlexW2113146103MaRDI QIDQ4824618

Ta-Chung Chu, Chung-Tsen Tsao

Publication date: 1 November 2004

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488502001491

zbMATH Keywords

Rankingcar evaluation and selectionmultiple level FMADMrelative areas

Mathematics Subject Classification ID

Decision theory (91B06)

Cites Work

• A fuzzy extension of Saaty's priority theory
• A review of some methods for ranking fuzzy subsets
• Comparison of fuzzy numbers based on the probability measure of fuzzy events
• The concept of a linguistic variable and its application to approximate reasoning. I
• A new approach for ranking fuzzy numbers by distance method
• Ranking alternatives with fuzzy weights using maximizing set and minimizing set
• Personnel selection using fuzzy MCDM algorithm
• Ranking and defuzzification methods based on area compensation
• Ranking fuzzy numbers based on decomposition principle and signed distance.
• Ranking fuzzy numbers with an area between the centroid point and original point.
• Ranking fuzzy values with satisfaction function
• A fuzzy multi-criteria decision-making method for facility site selection
• A procedure for multiple-aspect decision making using fuzzy sets
• Operations on fuzzy numbers

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