An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection

Dahooie, Jalil Heidary; Zavadskas, Edmundas Kazimieras; Firoozfar, Hamid Reza; Vanaki, Amir Salar; Mohammadi, Narges; Brauers, Willem K.

doi:10.1016/j.engappai.2018.12.008

Cited by 88 publications

(38 citation statements)

References 79 publications

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“…Although many scholars have improved it, there are still some shortcomings, such as do not consider the weight of each model, and so forth. Therefore, inspired by, in this section, we propose a CIA, which can not only consider both the utility values and sort results, but also reflect the preference attitude of DMs simultaneously. First, given that each model can get some pairwise values, including the utility values y n ( a i ) and the corresponding sort values s n ( a i ), we divide the pairwise values into two parts, and then construct the utility value matrix

D (y) = {(y_{n} (a_{i}))}_{m \times 3}

and sort value matrix

D (s) = {(s_{n} (a_{i}))}_{m \times 3}

, respectively.…”

Section: Interval 2‐tuple Pythagorean Fuzzy Linguistic Multimoora Methodsmentioning

confidence: 99%

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Interval 2‐tuple Pythagorean fuzzy linguistic MULTIMOORA method with CIA and their application to MCGDM

et al. 2020

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The reliable evaluation of financial performance of universities plays an important role in sustainable development of universities, and it could be regarded as a multicriteria group decision making problem. Based on this, in this paper, with respect to the attribute evaluation values are expressed by interval 2‐tuple Pythagorean fuzzy linguistic variables, we develop an extended MULTIMOORA method. First, we propose the interval 2‐tuple Pythagorean fuzzy linguistic set based on Pythagorean fuzzy set and interval‐valued 2‐tuple linguistic variables, and further introduce the score and accuracy functions and Hamming distance of it. Then, considering that there are some deficiencies in the traditional MULTIMOORA method, such as exist the case of circular reasoning, and so forth. We improve it by proposing a comprehensive integration approach, which can not only consider both the utility values and sort results, but also reflect the preference attitude of decision makings simultaneously. Based on these research findings, an interval 2‐tuple Pythagorean fuzzy linguistic MULTIMOORA method is presented and the calculation process of this method is described in detail. Finally, we give the numerical example concerning the evaluation of financial management performance in universities to illustrate practicability and reliability of the proposed approach and compare the proposed method with different methods to perform its flexibility.

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D (y) = {(y_{n} (a_{i}))}_{m \times 3}

and sort value matrix

D (s) = {(s_{n} (a_{i}))}_{m \times 3}

, respectively.…”

Section: Interval 2‐tuple Pythagorean Fuzzy Linguistic Multimoora Methodsmentioning

confidence: 99%

“…The original MULTIMOORA method integrate three utilize value matrixes are only referred by the dominance theory, and it has been proven that this way exits many shortcomings, such as circular reasoning. Therefore, many scholars work on solving this problem.…”

Section: Numerical Examples and Comparative Analysismentioning

confidence: 99%

Interval 2‐tuple Pythagorean fuzzy linguistic MULTIMOORA method with CIA and their application to MCGDM

et al. 2020

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“…In detail, there are four kinds of ranking aggregation approach: (1) dominance-based method, including Dominance Theory [18,29] and Dominance-Directed Graph [30], (2) programming method, like Nonlinear Optimization Model [31], (3) MADM method, including Technique of Precise Order Preference [32] and ORESTE [21], (4) aggregation operators, such as Borda Rule [30] and Rank Position Method [30]. Secondly, the weighting approaches for the attribute are divided into many kinds, such as CRITIC [33], SWARA [34], DEMATEL [29], Entropy [35], Maximizing Deviation Method [36], BWM [37], AHP [38], Statistical Variance [33], Choquet Integral [39], TOPSIS-Inspired Method [40], etc. In the last point, MULTIMOORA are fused with many types of MADM methods, which contain FMEA [41], QFD [36], DEA [42], Cluster Analysis [43], Finite Element Simulation [44], Regret Theory [35], Prospect Theory [45], Geographic Information System [46], Fine-Kinney Method [39], et al…”

Section: Definition 5 ([14]mentioning

confidence: 99%

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Luo

2019

Mathematics

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The sustainable third-party reverse logistics provider (3PRLP) selection, as the core of sustainable supply chain management, has become paramount in research nowadays. In the actual evaluation process, the decision makers may hesitate in a few linguistic terms and have different partiality towards each term, hence the possibility distribution based hesitant fuzzy linguistic term sets (PDHFLTSs), as expressed by a consecutive or non-consecutive linguistic term set, is suitable for such an evaluation. The purpose of this paper is to solve sustainable 3PRLP selection problems with linguistic information by developing an effective and robust method. We firstly redefine the covariance-based correlation coefficient that can simplify the computation to calculate the consensus degree, and then introduce the hesitant degree in context of possibility distribution information, in order to enrich measures of PDHFLTSs. On this basis, the weights of experts are computed for expression aggregation. Secondly, to overcome attributes’ weights staying constant, the combination of group utility function and variable weight approach is introduced to give the weights of attributes. Most importantly, a decision method, called MULTIMOORA, is optimized by improving the ranking position method, and then, through the combination with PDHFLTS, we proposed a possibility distribution based hesitant fuzzy linguistic MULTIMOORA method with great robustness. At last, the presented method is applied to the field of sustainable third-party reverse logistics provider selection in the e-commerce express industry and the effectiveness is verified by several comparative analyses.

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“…With the purpose of increasing the robustness of the MOORA method, Brauers and Zavadskas (2010a) added a full multiplicative form to this method and introduced a method called MULTIMOORA as a tool for multi-objective optimization. MULTIMOORA (Multi-objective Optimization on the basis of Ratio Analysis plus full multiplicative form) is a new multi criteria decision-making (MCDM) method which provides high efficiency and effectiveness in problem solving (Dahooie et al, 2019). MULTIMOORA approach has been widely applied in different sectors, such as: industry, economics, civil/environment, medical/healthcare.…”

Section: Introductionmentioning

confidence: 99%

“…The MULTIMOORA is among the most practical MCDM methods and has been used by many researches to solve complex decision-making problems, including evaluation of healthcare waste treatment technologies (Liu, You, Lu, & Chen, 2015), selection of biomaterials (A. Hafezalkotob & A. Hafezalkotob, 2017), selection of residential house construction materials and elements (Zavadskas, Bausys, Juodagalviene & Garnyte-Sapranaviciene, 2017), evaluation and selection of optimal robot for an industrial application (Zhou, You, Zhao & Liu, 2018), selection of appropriate performance appraisal method in organizations (Maghsoodi, Abouhamzeh, Khalilzadeh, & Zavadskas, 2018), selection of the proper technological forecasting method (Dahooie et al, 2019), sustainability assessment for implementation of EU energy policy priorities in the Baltic Sea Region countries (Siksnelyte, Zavadskas, Bausys, & Streimikiene, 2019) and so forth. Brauers, Zavadskas, and Lepkova (2017) made a forecast of facilities management sector in Lithuania and for the analysis applied multi-objective optimization method MULMOORA which helped to obtain a ranking of effectiveness of the firms offering facilities management.…”

Section: Introductionmentioning

confidence: 99%

Is Credit Rating Reserved Territory for Credit Rating Agencies? A Multimoora Approach for European Firms and Countries

Brauers

Lepkova

2019

Technological and Economic Development of Economy

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Credit Rating Agencies rate firms and countries by internal experts but with a final qualitative judgment by their management acting as decision makers. These ratings on their turn influence the countries credit rating and ipso facto of their enterprises. The work of the CRA is in fact double: credit rating of firms and other organizations at one side and countries on the other. Considering the credit rating of firms, the CRA made significant mistakes during the Recession 2007−2009 and their judgment is too much American oriented, in any way from a European point of view. Consequently, in Europe many efforts were made to come to a new agency, but all efforts failed. It could be different for the rating of countries. Is a more scientific approach, eventually on a quantitative and structural basis, not possible? Therefore, MULTIMOORA, a quantitative method, is suggested. The study was made for all countries of the European Continent. Based on data available in 2013 and on their extrapolation, the results are quite comparable to the results of Standard & Poor’s Credit Rating System of the moment. As the classifications of Moody’s and Fitch are very similar to those of Standard & Poor’s the outcome would be similar for these other Credit Rating Agencies.

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An improved fuzzy MULTIMOORA approach for multi-criteria decision making based on objective weighting method (CCSD) and its application to technological forecasting method selection

Cited by 88 publications

References 79 publications

Interval 2‐tuple Pythagorean fuzzy linguistic MULTIMOORA method with CIA and their application to MCGDM

Interval 2‐tuple Pythagorean fuzzy linguistic MULTIMOORA method with CIA and their application to MCGDM

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

Is Credit Rating Reserved Territory for Credit Rating Agencies? A Multimoora Approach for European Firms and Countries

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