Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Ceballos, Blanca; Lamata, María Teresa; Pelta, David A.

doi:10.1002/int.21873

Cited by 22 publications

(21 citation statements)

References 20 publications

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“…Ceballos et al [42] proposed a comparison of rankings calculated by F-MULTIMOORA, F-TOPSIS, F-VIKOR, and F-WASPAS to answer the primary question which occurs in every MCDM problem, which is "which method should be used to solve the ranking problem", and the result of this question is still open. Stević et al [43] applied a hybrid novel MCDM methodology including DEMATEL, EDAS, COPRAS and MULTIMOORA methods in a supplier selection problem in regard to a construction organization.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

et al. 2018

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A primary issue that is being discussed nowadays in organizations is continuous improvement of the organization itself, because the procedure of periodic evaluation is an important tool to maintain the improvement of the organization. An essential factor in any organization is the human resources as a key asset to guide organizations to sustain their competitive advantages by employing particular knowledge and skills to form a comprehensive and sustainable human resource management. Evaluation of job satisfaction has become a part of the strategic approach toward incorporating business policies and human resource actions in modern day organizations. The current research study presents a novel hybrid validation framework to evaluate and appraise the factors influencing job satisfaction based on the fuzzy MULTIMOORA approach and partial least-squares path modeling (PLS-PM). The proposed fuzzy MCDM technique and statistical method validate each other to present an optimal assessment of influencing factors in job satisfaction. Eventually, a real-world case study in regard to influential factors in job satisfaction has been suggested in this study, to show that the proposed framework is a practical and accurate method to tackle an assessment problem in a real-world application of influencing factors in job satisfaction in a cross-industrial multi-national construction and geotechnical engineering organization in Iran.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

et al. 2018

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“…It includes the ratio system (RS), the maximal objective reference point (MORP) and multiplicative form (MF) [59]. In practice, MULTIMOORA is proved to be the insensitivity method of multi-objective optimization (MOO) and high frequency used to solve MCDM problems under an uncertainty environment, because there is no other method that can meet all the robustness conditions of MOO [58,60]. Therefore, MULTIMOORA was used for company operation evaluation in many cases [61,62].…”

Section: Supplier Selection Methodsmentioning

confidence: 99%

A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product

Liu

Xiao

et al. 2018

Sustainability

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The selection of fresh product suppliers is a multi-criteria decision making (MCDM) problem with great significant and application value. This requires trade-offs between multiple criteria to prove its ambiguity and uncertainty. Therefore, a novel two-stage fuzzy integrated MCDM method to select suitable suppliers is employed. In the first stage, two collective relationship matrixes are constructed by quality function development (QFD), and relationships among customer requirements (CRs), company strategies (CSs) as well as selection criteria are considered separately in the two matrixes. Subjective criteria weights are obtained by fuzzy best-worst method (BWM) appropriately. In the second stage, the objective criteria weights are obtained using Shannon's entropy method, and the fuzzy multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) is applied to rank suppliers. Finally, an application case is applied to prove the feasibility of the proposed method. These conclusions can help companies improve their CSs and increase their market competitiveness.

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“…It is interesting that Ceballos et al (2017) study how to choose an appropriate model among a number of fuzzy MADM models to solve a given fuzzy MADM problem. Specifically, they examine several fuzzy MADM models against over 1,200 randomly generated decision problems, and reveal their similarities and differences, the impact of their parameters settings, and how they can be clustered.…”

Section: Multi-attribute Decision-makingmentioning

confidence: 99%

An explainable multi-attribute decision model based on argumentation

Zhong¹,

Fan

Luo

et al. 2019

Expert Systems with Applications

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We present a multi-attribute decision model and a method for explaining the decisions it recommends based on an argumentative reformulation of the model. Specifically, (i) we define a notion of best (i.e., minimally redundant) decisions amounting to achieving as many goals as possible and exhibiting as few redundant attributes as possible, and (ii) we generate explanations for why a decision is best or better than or as good as another, using a mapping between the given decision model and an argumentation framework, such that best decisions correspond to admissible sets of arguments. Concretely, natural language explanations are generated automatically from dispute trees sanctioning the admissibility of arguments. Throughout, we illustrate the power of our approach within a legal reasoning setting, where best decisions amount to past cases that are most similar to a given new, open case. Finally, we conduct an empirical evaluation of our method with legal practitioners, confirming that our method is effective for the choice of most similar past cases and helpful to understand automatically generated recommendations.

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Fuzzy Multicriteria Decision-Making Methods: A Comparative Analysis

Cited by 22 publications

References 20 publications

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

A Novel Two-Stage Integrated Model for Supplier Selection of Green Fresh Product

An explainable multi-attribute decision model based on argumentation

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