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SOME COMPUTATIONS ON FUZZY MATRICES: AN APPLICATION IN FUZZY ANALYTICAL HIERARCHY PROCESS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008Fuzzy 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
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A fuzzy extension of Analytic Hierarchy Process based on the constrained fuzzy arithmetic
Fuzzy Optimization and Decision Making, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jana Krejcí +2 more
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Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms [PDF]
Fuzzy Sets and Systems, 2019 Abstract Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers are utilized to represent human judgments more realistically. Over the past couple of decades, numerous articles have been published proposing algorithms through which ...
Faran Ahmed, Kemal Kilic
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Eigenproblem driven triangular fuzzy analytic hierarchy process
Information Sciences, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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
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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
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Fuzzy Application to the Analytic Hierarchy Process for Robot Selection
Fuzzy Optimization and Decision Making, 2005The 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
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Fuzzy Analytic Hierarchy Process in a Graphical Approach
Group Decision and Negotiation, 2021Saaty’s analytic hierarchy process (AHP) is widely used in many decision-making problems such as a choice of alternatives, prioritization, or ranking. Despite being a valuable tool based on pairwise comparisons of a set of alternatives the method is strongly connected with numeric or linguistic descriptors of the preferences. This can form a limitation
Paweł Karczmarek +2 more
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Fuzzy analytic hierarchy process: Fallacy of the popular methods
European Journal of Operational Research, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2014 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2014), 2014
Airline website is the major online channel that attracts the customers around the globe. The quality of the website is the main concern for the users who use it. Website quality depends on many criteria from both user's and service providers perspective.
P. D. D. Dominic, Humera Khan
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Airline website is the major online channel that attracts the customers around the globe. The quality of the website is the main concern for the users who use it. Website quality depends on many criteria from both user's and service providers perspective.
P. D. D. Dominic, Humera Khan
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Fuzzy analytic hierarchy process with interval type-2 fuzzy sets
Knowledge-Based Systems, 2014The membership functions of type-1 fuzzy sets have no uncertainty associated with it. While excessive arithmetic operations are needed with type-2 fuzzy sets with respect to type-1's, type-2 fuzzy sets generalize type-1 fuzzy sets and systems so that more uncertainty for defining membership functions can be handled.
Cengiz Kahraman +3 more
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