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Journal ArticleDOI

A fuzzy extension of Saaty's priority theory

P. J. M. van Laarhoven, +1 more
- 01 Nov 1983 - 
- Vol. 11, Iss: 1, pp 229-241
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TLDR
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.
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This article is published in Fuzzy Sets and Systems.The article was published on 1983-11-01. It has received 2631 citations till now. The article focuses on the topics: Fuzzy number & Fuzzy set operations.

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Citations
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Journal ArticleDOI

Fuzzy Analytic Hierarchy Process-Based Mobile Robot Path Planning

Changwon Kim, +2 more
- 08 Feb 2020 - 
TL;DR: Comparative results obtained from the artificial potential field, AHP, and FAHP simulations show that FAHP is much preferable for mobile robot’s path planning than typical AHP.
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Developing a new framework for evaluating e-learning systems: integrating BSC and FAHP

TL;DR: A new conceptual framework for assessing e-learning systems by using fuzzy analytic hierarchy process (FAHP) and BSC that integrates two well-established managerial methodologies and considers pedagogical, organizational and technological aspects synchronously is introduced.
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Rough Set Theory Based Fuzzy TOPSIS on Serious Game Design Evaluation Framework

TL;DR: This study presents a hybrid methodology for solving the serious game design evaluation in which evaluation criteria are based on meaningful learning, ARCS motivation, cognitive load, and flow theory (MACF) by rough set theory and experts’ selection.
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Identification of Key Success Factors for Private Science Parks Established from Brownfield Regeneration: A Case Study from China.

TL;DR: Five factors— resources sharing capacity of the park, park scale, financing and financial services, legal policy services and administrative capability, and construction level of facilities in the park—are the key success factors for such PSPs established from brownfield regeneration.
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A Spatially Explicit Multi-Criteria Analysis Method on Solving Spatial Heterogeneity Problems for Flood Hazard Assessment

TL;DR: In this paper, a spatially explicit multi-criteria analysis approach which emphasizes on spatial heterogeneity in decision-making process is developed for flood hazard assessment, and it has been applied to the area including Hanyang, Caidian and Hannan of Wuhan, China, where flood events occur frequently.
References
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Book

Fuzzy Sets and Systems: Theory and Applications

Didier Dubois, +1 more
TL;DR: This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy set theory and its applications or interactions in a wide spectrum of scientific disciplines.
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Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets

Sjoerd M. Baas, +1 more
- 01 Jan 1977 - 
TL;DR: A method to deal with multiple-alternative decision problems under uncertainty by considering each of these variables as fuzzy quantities, characterized by appropriate membership functions of fuzzy sets induced by mappings is proposed.
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Comparison of fuzzy sets on the same decision space

TL;DR: Methods of evaluating the parameter used in decision-making are given which can be varied to incorporate different utility functions and a new approach is described which overcomes their drawbacks.
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A procedure for multiple-aspect decision making using fuzzy sets

TL;DR: The qualitative terms of the alternatives are represented quantitatively using fuzzy sots and then the fuzzy optimal alternative is computed and gives the relative merit of each alternative and thus helps in decision making.
Journal ArticleDOI

Saaty's priority theory and the nomination of a senior professor in operations Research

TL;DR: In this paper, the authors briefly sketch Saaty's priority theory which has been developed to assign weights (priorities) to a multiple of decision criteria via pairwise comparison of the criteria.