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Journal ArticleDOI

An approach to multiple attribute decision making based on fuzzy preference information on alternatives

Zhi-Ping Fan, +2 more
- 01 Oct 2002 - 
- Vol. 131, Iss: 1, pp 101-106
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TLDR
A new approach is presented to make use of both the decision makers' social fuzzy preference relation on alternatives and decision matrix to form an optimization model that can be used to determine the attribute weights and rank the alternatives.
About
This article is published in Fuzzy Sets and Systems.The article was published on 2002-10-01. It has received 215 citations till now. The article focuses on the topics: Decision analysis & Decision matrix.

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Citations
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Journal ArticleDOI

Hesitant Fuzzy Linguistic Term Sets for Decision Making

TL;DR: The concept of a hesitant fuzzy linguistic term set is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms.
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Managing non-homogeneous information in group decision making

TL;DR: An aggregation process for dealing with non-homogeneous contexts, taking as base the 2-tuple fuzzy linguistic representation model, is developed and different extensions of this process are proposed to deal with contexts in which can appear other type of information as intuitionistic fuzzy sets or multi-granular linguistic information.
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Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment

TL;DR: The fuzzy multi-criteria decision-making (MCDM) method is applied to determine the importance weights of evaluation criteria and to synthesize the ratings of candidate aircraft to help the Air Force Academy in Taiwan choose optimal initial training aircraft in a fuzzy environment.
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Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making

TL;DR: A correlation coefficient (CC) and standard deviation (SD) integrated approach for determining the weights of attributes in multiple attribute decision making (MADM) and a global sensitivity analysis to the weights determined are proposed to ensure the stability of the best decision alternative or alternative ranking.
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Some models for deriving the priority weights from interval fuzzy preference relations

TL;DR: In this article, some new concepts such as additive consistent interval fuzzy preference relations, multiplicative consistent interval preference relation, etc., are defined, and some simple and practical linear programming models for deriving the priority weights from various interval-fuzzy preference relations are established.
References
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Book

Multiple Attribute Decision Making: Methods and Applications

TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Journal ArticleDOI

Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
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On ordered weighted averaging aggregation operators in multicriteria decisionmaking

TL;DR: A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
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Nonmetric multidimensional scaling: A numerical method

TL;DR: The numerical methods required in the approach to multi-dimensional scaling are described and the rationale of this approach has appeared previously.