Robustness of MULTIMOORA: A Method for Multi-Objective Optimization

Brauers, Willem K.; Zavadskas, Edmundas Kazimieras

doi:10.15388/informatica.2012.346

Cited by 244 publications

(127 citation statements)

References 33 publications

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“…To construct the final ranking, F-MULTIMOORA applies the theory of dominance. 19 Essentially, one alternative is better than another one if it occupies higher positions in at least two rankings (out of three). The global best alternative will have (1, 1, 1), stating that it achieved the top position in the three rankings.…”

Section: Reference Point: the First Step Requires The Calculation Of mentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Ceballos

Lamata

Pelta

2016

Int. J. Intell. Syst.

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Given a multicriteria decision‐making problem, an obvious question emerges: Which method should be used to solve it? Although some efforts had been made, the question remains open. The aim of this contribution is to compare a set of multicriteria decision‐making methods sharing three features: same fuzzy information as input data, the need of a data normalization procedure, and quite similar information processing. We analyze the rankings produced by fuzzy MULTIMOORA, fuzzy TOPSIS (with two normalizations), fuzzy VIKOR, and fuzzy WASPAS with different parameterizations, over 1200 randomly generated decision problems. The results clearly show their similarities and differences, the impact of the parameters settings, and how the methods can be clustered, thus providing some guidelines for their selection and usage.

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Section: Reference Point: the First Step Requires The Calculation Of mentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Ceballos

Lamata

Pelta

2016

Int. J. Intell. Syst.

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“…So far, MULTIMOORA has been applied to many real-life problems. Among them, project management (Brauers & Zavadskas, 2010), material selection in construction industry (Brauers & Zavadskas, 2012), financial performance evaluation of banks (Brauers, Ginevičius, & Podviezko, 2014), selection of private learning centers (Ozcelik, Aydoğan, & Gencer, 2014), and excavator selection (Altuntas, Dereli, & Yilmaz, 2015) can be given as examples.…”

Section: Moora Methodsmentioning

confidence: 99%

“…Brauers and Zavadskas (2010) proposed Multimoora that aggregates different ranks and obtains a single completed rank of alternatives. In Multimoora, the aggregation of different ranks is performed by using the dominance theory (Brauers & Zavadskas, 2012). The general structure of Multimoora method can be seen in Figure 2.…”

Section: Moora Methodsmentioning

confidence: 99%

Corporate sustainability performance measurement based on a new multicriteria sorting method

Küçükbay

Sürücü

2019

Corp Soc Responsibility Env

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The concept of sustainability deals with protecting and sustaining society and environment for future generations while trying to meet the maximization of market capitalization objective. Despite the increased awareness of corporate sustainability, questions remain on how to measure performance. The objective of this paper is to propose a new measurement method, which is Multimoora Sort, for corporate sustainability performance and make an empirical case with the 25 companies listed in Fortune 500 USA. We chose four economic subcriteria, two environmental subcriteria, and four social subcriteria for the methodology. The results of the study show that the proposed methodology is a practical and efficient decision method.The most important contribution of the study to the literature is to present a new evaluation method in the measurement of sustainability performance as well as the results of the empirical case are supported by the resource dependency theory, institutional theory, and stakeholder theory.

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“…Brauers and Zavadskas [53] developed the MULTI-MOORA method based on the multi-objective optimization by ratio analysis (MOORA) method [54]. Because it consists of three different decision-making methods, MULTIMOORA is more robust than MOORA [55]. Recently the MULTIMOORA method has been employed for various purposes, including robot selection [56], supplier selection [57], healthcare waste treatment technology evaluation and selection [58], and personnel selection [59].…”

Section: The Multimoora Methodsmentioning

confidence: 99%

An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information

Tian

Wang

Zhang

2016

Neural Comput & Applic

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Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) is a useful method to apply in multi-criteria decision-making due to the flexibility and robustness it introduces into the decision process. This paper defines several simplified neutrosophic linguistic distance measures and employs a distance-based method to determine criterion weights. Then, an improved MULTIMOORA approach is presented by integrating the simplified neutrosophic linguistic normalized weighted Bonferroni mean and simplified neutrosophic linguistic normalized geometric weighted Bonferroni mean operators as well as a simplified neutrosophic linguistic distance measure. This approach ranks alternatives according to three ordering methods, and then, uses dominance theory to combine the three rankings into a single ranking. Finally, this paper presents a practical case example and conducts a comparative analysis between the proposed approach and existing methods in order to verify the feasibility and effectiveness of the developed methodology.

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Robustness of MULTIMOORA: A Method for Multi-Objective Optimization

Cited by 244 publications

References 33 publications

Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Corporate sustainability performance measurement based on a new multicriteria sorting method

An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information

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