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Analytic Hierarchy Process Based on Fuzzy Analysis

2006
Analytic Hierarchical Process(AHP) is proposed to give the priority weight with respect to many items. The priority weights are obtained from the pairwise comparison matrix whose elements are given by a decision maker as crisp values. We extend the crisp pairwise comparisons to fuzzy ones based on uncertainty of human judgement.
Tomoe Entani   +2 more
openaire   +1 more source

Concept Evaluation Based on Fuzzy Analytic Hierarchy Process

2020 IEEE International Systems Conference (SysCon), 2020
The evaluation of new product concepts has fuzzy and multi-dimensional characteristics. This paper proposes a new quantitative comprehensive evaluation method, which integrates analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE) method. In the proposed method, the AHP method is used to determine the weight of different criterions
Zhe Huang, Mickael Gardoni
openaire   +1 more source

Towards Group Fuzzy Analytical Hierarchy Process

2018
Group decision making takes place in almost all domains. In building construction domain, a team of contractors with disparate specializations collaborate. Little research has been done to propose group decision making technique for this domain. As such, specific teams’ competitiveness enhancements are minimal as it takes more time for individual ...
George Wamamu Musumba, Ruth Diko Wario
openaire   +2 more sources

The Improved Fuzzy Analytic Hierarchy Process

Applied Mechanics and Materials, 2014
In FAHP, discontinuous scale, such as 0.1-0.9 scale, is usually used to get fuzzy judgment matrix. But when evaluating system is complex or index systems are too many, we may get stuck in a comparison dilemma by using 0.1-0.9 scale, resulting in a fuzzy judgment matrix of poor consistency.
Qiang Zhang   +4 more
openaire   +1 more source

Does Intuitionistic Fuzzy Analytic Hierarchy Process Work Better Than Analytic Hierarchy Process?

International Journal of Fuzzy Systems, 2021
Analytical hierarchy process (AHP) has been prevailing in multicriteria decision-making (MCDM) problems. Meanwhile, the fuzzy sets family has shown great power in representing vagueness and advancing the decision quality under uncertainties. The literature well documented the foundation and advantages of their integration, such as Fuzzy AHP.
Xiaofeng Chen   +3 more
openaire   +2 more sources

SOME COMPUTATIONS ON FUZZY MATRICES: AN APPLICATION IN FUZZY ANALYTICAL HIERARCHY PROCESS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008
Fuzzy mathematics is a generalization in which fuzzy numbers replace real numbers and fuzzy arithmetic replaces real arithmetic. It is an excellent scope for modeling vague and uncertain aspects of the actual environments. In this important area, Dubois and Prade1 defined a fuzzy matrix as a rectangular array of fuzzy numbers.
Mehdi Dehghan 0002   +2 more
openaire   +2 more sources

A fuzzy extension of Analytic Hierarchy Process based on the constrained fuzzy arithmetic

Fuzzy Optimization and Decision Making, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jana Krejcí   +2 more
openaire   +4 more sources

Fuzzy analytic hierarchy process and analytic network process: An integrated fuzzy logarithmic preference programming

Applied Soft Computing, 2013
This paper proposes a two-stage fuzzy logarithmic preference programming with multi-criteria decision-making, in order to derive the priorities of comparison matrices in the analytic hierarchy pprocess (AHP) and the analytic network process (ANP). The Fuzzy Preference Programming (FPP) proposed by Mikhailov and Singh [L. Mikhailov, M.G.
Jing-Rung Yu, Wei-Yuan Shing
openaire   +1 more source

Eigenproblem driven triangular fuzzy analytic hierarchy process

Information Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Fuzzy Application to the Analytic Hierarchy Process for Robot Selection

Fuzzy Optimization and Decision Making, 2005
The problem of Robot Selection is of great relevance in the present times of automation. Traditionally such problems were addressed using conventional techniques of Multi Criteria Decision Making such as The Analytic Hierarchy Process (AHP) and The Multi Attribute Utility Theory (MAUT).
Vikas Kapoor, Shyam Singh Tak
openaire   +1 more source

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