Multiple Attribute Decision Making

Tzeng, Gwo‐Hshiung; Huang, Jih-Jeng

doi:10.1201/b11032

Cited by 1,241 publications

(759 citation statements)

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“…Moreover, converting fuzzy data into crisp scores (CFCS) method (Opricovic and Tzeng 2003), as a useful defuzzification technique versus the centroid method (Opricovic and Tzeng 2003;Wu and Lee 2007), is used to defuzzify triangular fuzzy numbers in this research. Tzeng and Huang (2011) provided more details about fuzzy ANP and fuzzy DEMATEL for interested readers. In brief, Fig.…”

Section: The Proposed Hybrid Algorithmmentioning

confidence: 99%

Evaluating a green supplier selection problem using a hybrid MODM algorithm

et al. 2014

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The green supplier selection (GSS) problem is a well-known strategy to outsource with respect to environmental protection. Although different applications of GSS have been proposed in the literature, the fuzzy five-objective GSS model has not been studied yet. This paper develops a multi-objective fuzzy linear programming model for a GSS problem, including 17 criteria, formed into 5 clusters while a hybrid fuzzy multi objective decision making (MODM) is employed to solve it. The aim of this paper is to select the best set of suppliers regarding optimal allocation of order quantities while demand and supplier's capacity are restricted. In the proposed hybrid solution algorithm, fuzzy decision making trial and evaluation laboratory approach is used to understand the interrelation among criteria, and fuzzy analytical network process (ANP) provides the criteria weights with respect to their dependencies. Then, a hybrid of fuzzy ANP and fuzzy multi-objective linear programming presents optimal order allocation among the selected suppliers, verified and compared with two other methods. Finally, the conclusion and future research are presented.Keywords Green supplier selection · Fuzzy analytical network process (ANP) · Fuzzy decision making trial and Evaluation laboratory (DEMATEL) · Order allocation · Fuzzy multi-objective linear programming (MOLP) · Weighted max-min operator

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Section: The Proposed Hybrid Algorithmmentioning

confidence: 99%

Evaluating a green supplier selection problem using a hybrid MODM algorithm

et al. 2014

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“…In this section, some basic concepts of set functions and measures are reviewed [36,39,41,42]. Let X 6 ¼ / be a set in which its power set is displayed by PðXÞ and K be the family of subsets of X with empty set ð/Þ.…”

Section: Definitions and Preliminariesmentioning

confidence: 99%

“…For instance, ELECTRE and PROMETHEE methods which are in the first category, multi-attribute utility theory ( MAUT), analytic hierarchy process ( AHP) and its generalized form i.e. analytic network process ( ANP) methods are classified in the second group [36]. These methods compare the criteria in pairs and aggregate the comparisons…”

Section: Introductionmentioning

confidence: 99%

Fuzzified Choquet Integral and its Applications in MADM: A Review and A New Method

Keikha

Nehi

2015

Int. J. Fuzzy Syst.

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Aggregation of information using Choquet integral method, caused to interdependent or interactive characteristics among the decision maker's preference criteria also considered. In this paper, after introducing Choquet integral as a powerful aggregation function, some existing fuzzified Choquet integral methods will be reviewed. Then, we propose a new method for aggregation of fuzzy-valued information using Choquet integral and compare it with others. This method preserves the properties of fuzzy numbers, that is, the resulting data are the same type as the early data. So, ranking of such numbers, which is necessary in multi attribute decision-making (MADM) problems, was performed using ranking methods of fuzzy numbers. Also, we will apply the proposed method in both single and group decision-making problems to solve MADM problems, while the evaluation values and then decision matrix are fuzzy numbers.

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“…Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a conventional means of solving MCDM problems [7][8][9]. The main advantage of the TOPSIS is its inherent ability to handle intangibles and less cumbersome mathematical calcula- [10], who discussed the use of linguistic variables in Fuzzy Set (FS). Researches have been investigating techniques to handle the faced uncertainties in many decision making applications.…”

Section: Introductionmentioning

confidence: 99%

“…Research in fuzzy decision making has grown rapidly in the utilization of extended fuzzy set theories (i.e., Intuitionistic Fuzzy Sets (IFSs) [8], Hesitant Fuzzy Sets [9], Vague Sets [10], Interval-valued Fuzzy Sets [11]). The work in [12] developed an interactive decision support system for sustainable energy management and the application of fuzzy methods to tackle uncertainties in the data.…”

Section: Introductionmentioning

confidence: 99%

An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems

Jumarni¹,

Zamri²

2018

IJET

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Multi-Criteria Decision Making (MCDM) is a decision-making methods, which it is able to find a unique agreement from number of experts by evaluating the uncertain judgment among them. Several fuzzy logic based approaches have been employed in MCDM to handle the linguistic uncertainties and hesitancy. However, there is still a need to handle high level of uncertainties that exists in decision making problems. Thus, the purpose of this paper is to introduce the new concept namely fuzzy TOPSIS and fuzzy logic based MCDM. The proposed concepts aims to handle the high levels of uncertainties which exists due to the varying experts' judgments and the vagueness of the appraisal. The proposed method utilized fuzzy logic rule-base in determining the alternatives and criteria for decision matrix. Then, in the aggregation phase, the min operator is used to compute the firing strength for each rule. The feasibility and applicability of the proposed methods are illustrated with an example. This new concept is seen be able to handle intangibles and less cumbersome in mathematical calculations.

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Multiple Attribute Decision Making

Cited by 1,241 publications

References 0 publications

Evaluating a green supplier selection problem using a hybrid MODM algorithm

Evaluating a green supplier selection problem using a hybrid MODM algorithm

Fuzzified Choquet Integral and its Applications in MADM: A Review and A New Method

An integration of fuzzy TOPSIS and fuzzy logic for multi-criteria decision making problems

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