Multicriteria analysis with fuzzy pairwise comparison
TLDR
The result shows that the approach developed is simple and comprehensible in concept, efficient in computation, and robust and flexible in modeling the human evaluation process, thus making it of general use for solving practical MA problems.About:
This article is published in International Journal of Approximate Reasoning.The article was published on 1999-08-01 and is currently open access. It has received 699 citations till now. The article focuses on the topics: Pairwise comparison & Fuzzy number.read more
Citations
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Book ChapterDOI
Multiple criteria decision making
János Fodor,Marc Roubens +1 more
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.
Journal ArticleDOI
Multi‐criteria supplier selection using fuzzy AHP
TL;DR: In this article, the authors used fuzzy analytic hierarchy process (AHP) to select the best supplier firm providing the most satisfaction for the criteria determined by the purchasing managers of a white good manufacturer established in Turkey.
Journal ArticleDOI
Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey
TL;DR: The customers of three Turkish catering firms were interviewed and the most important criteria taken into account by the customers while they were selecting their catering firmsWere determined by a designed questionnaire and the fuzzy analytic hierarchy process was used to compare these catering firms.
Journal ArticleDOI
Deriving priorities from fuzzy pairwise comparison judgements
TL;DR: A new approach for deriving priorities from fuzzy pairwise comparison judgements is proposed, based on α-cuts decomposition of the fuzzy judgements into a series of interval comparisons, which requires the solution of a non-linear optimisation program.
Journal ArticleDOI
Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology
TL;DR: In this paper, a two step methodology is structured to evaluate hazardous waste transportation firms containing the methods of fuzzy-AHP and TOPSIS.
References
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Journal ArticleDOI
Fuzzy Set Theory and Its Applications
TL;DR: In this paper, a new book about fuzzy set theory and its applications is presented, which can be used to explore the knowledge of the knowledge in a new way, even for only few minutes to read a book.
Journal ArticleDOI
Applications of the extent analysis method on fuzzy AHP
TL;DR: The use of triangular fuzzy numbers for pairwise comprison scale of fuzzy AHP is introduced, and the use of the extent analysis method for the synthetic extent value S i of the pairwise comparison is used.
Journal ArticleDOI
A fuzzy extension of Saaty's priority theory
TL;DR: A fuzzy version of Saaty's pairwise comparison method (1980) extended by de Graan and Lootsma (1981), adapted in such a way, that decision-makers are asked to express their opinions in fuzzy numbers with triangular membership functions.
Journal ArticleDOI
Decision making for leaders
TL;DR: Decision Making for Leaders is an introduction to Saaty's analytic hierarchy process (AHP) aimed at an audience of leaders in business, industry, and government.
Book ChapterDOI
Multiple criteria decision making
János Fodor,Marc Roubens +1 more
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.