Regime switching fuzzy AHP model for choice-varying priorities problem and expert consistency prioritization: A cubic fuzzy-priority matrix design

Duru, Okan; Bulut, Emrah; Yoshida, Shigeru

doi:10.1016/j.eswa.2011.10.020

Cited by 56 publications

(27 citation statements)

References 18 publications

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“…In the literature, however, a consistency control has not been proposed and applied to the FAHP method despite the fact that the consistency calculation is a critical step in the group decision-making method.In this study, the centric consistency index (CCI) [21,22] based on the fuzzy extended version of the geometric consistency index (GCI) [23] is proposed to calculate the consistency of each decision maker's matrixes. The calculation of the CCI method is as follows:…”

Section: Centric Consistency Index (Cci)mentioning

confidence: 99%

Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

Bulut

Duru

Koçak

2015

Applied Mathematical Modelling

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a b s t r a c tThe aim of this paper is to improve the applicability of the fuzzy-AHP method by using the rotational priority investigation (RPI) method. Despite its popularity and convenience, the AHP and fuzzy-AHP method is criticized by many scholars because of intransitivity and the rank reversal phenomenon. Experts may question the rational choice theory and cross priorities may indicate conflicting interactions. Also, the extraction of a number of alternatives may cause a different order of priorities. The rotational priority investigation method is proposed to investigate sub-group priorities and their corresponding rankings. Every rotation refers to the investigation of sub-group priorities after extraction of an alternative. The final result is based on the normalized average priority among the several rotations. An empirical study is presented by using the RPI method in the fuzzy AHP for the marine engine selection problem in the shipping industry.

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Section: Centric Consistency Index (Cci)mentioning

confidence: 99%

Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

Bulut

Duru

Koçak

2015

Applied Mathematical Modelling

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“…Consistency in this case means that the decision procedure is producing coherent judgments in specifying the pairwise comparison of the criteria, subcriteria, or alternatives. When the RGMM is employed as the prioritization procedure, the GCI is used for consistency control [16,40,41]. For an n × n judgement matrix the GCI is computed as follows:…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

“…The fuzzy AHP method is designed to improve decision support for uncertain valuations and priorities. The methodology presented in this paper uses data and preferences of experts evaluated under a fuzzy set environment [16]. The use of fuzzy set theory allows the decision makers to incorporate unquantifiable information, incomplete information, nonobtainable information, and partially ignorant information into decision model [17].…”

Section: Introductionmentioning

confidence: 99%

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Janjić¹,

Savić²,

Velimirović³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:Unlike the traditional way of efficiency assessment of renewable energy sources integration, the smart grid concept is introducing new goals and objectives regarding increased use of renewable electricity sources, grid security, energy conservation, energy efficiency, and deregulated energy market. Possible benefits brought by renewable sources integration are evaluated by the degree of the approach to the ideal smart grid. In this paper, fuzzy analytical hierarchy process methodology for the integration efficiency has been proposed, taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid. The methodology has been illustrated on the choice of the size and location of a distributed generator in the radial distribution feeder.

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“…The fuzzy AHP method is designed to improve decision support for uncertain valuations and priorities. The methodology presented in this paper uses data and preferences of experts evaluated under a fuzzy set environment [16]. The use of fuzzy set theory allows the decision makers to incorporate unquantifiable information, incomplete information, non obtainable information, and partially ignorant information into decision model [17].…”

Section: Introductionmentioning

confidence: 99%

Goal Optimization for Electricity Management

Jain¹,

Jain²,

Khanna³

2019

IJETR

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Goal optimization is the extension of linear programming model which is capable of handling simultaneously many goals which are usually conflicting in nature. Ignizio defined Goal optimization as "It is a tool that has been proposed as a model and approach for analysis of problems involving multiple conflicting objectives". Here in this paper author try to manage Electricity management in household and in industrial sectors. Different models and methods have been adapted for this purpose and finally the proposed method (FAHP) has been presented. The goal programming model has been used to determine the optimal value in Megawatt Hours (MWh) for all energy sources and optimal energy portfolio model is suggested for both economic and ecological sustainability.

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Regime switching fuzzy AHP model for choice-varying priorities problem and expert consistency prioritization: A cubic fuzzy-priority matrix design

Cited by 56 publications

References 18 publications

Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Goal Optimization for Electricity Management

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