Base-criterion on multi-criteria decision-making method and its applications

Haseli, Gholamreza; Sheikh, Reza; Sana, Shib Sankar

doi:10.1080/17509653.2019.1633964

Cited by 56 publications

(22 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are many MCDM methods (Adhami & Ahmad, 2020;Haseli et al, 2020;Shaikh et al, 2020;Srinivasan & Shocker, 1973), among which the LINMAP method proposed by Srinivasan and Shocker (1973) was well-known. The LINMAP method establishes a linear programming problem based on the decision matrices and pairwise comparisons of alternatives.…”

Section: The Linmap Methodsmentioning

confidence: 99%

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

Qin

Liao

Jiang

2021

Technological and Economic Development of Economy

View full text Add to dashboard Cite

In multiple criteria decision making (MCDM), the even swaps method uses the relationships of criteria to make trade-offs but the burdens of experts are heavy; the linear programming technique for multidimensional analysis of preference (LINMAP) method cannot deal with the inter-dependencies among criteria but the cognitive burdens of experts are low. Taking the advantages of both these methods, this study proposes a criterion utility conversion (CUC) technique to solve probabilistic linguistic MCDM problems given that the probabilistic linguistic term set (PLTS) can reflect the psychology of experts when making evaluations. The utility conversion process is first proposed based on the marginal utilities of criteria. Then, the criterion preference ratios of experts are refined from the utility conversion process. Based on the criterion preference ratios and the operations of PLTSs, the adjusted probabilistic linguistic expected values of alternatives are calculated. The consistency and inconsistency indexes of alternatives and criteria are defined to set up the linear programming used to work out the criterion preference ratios. An illustration about the selection of emergency logistics supplier is given to validate the proposed method. The comparative analysis indicates the low cognitive burden, high stability, and strong applicability of the proposed method.

show abstract

Section: The Linmap Methodsmentioning

confidence: 99%

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

Qin

Liao

Jiang

2021

Technological and Economic Development of Economy

View full text Add to dashboard Cite

show abstract

“…First, it determines the information of decisions, such as the criteria weights, and second, it collects the criteria information and ranks the alternatives based on this information [4]. Over recent years, several MCDM methods, such as the analytic hierarchy process (AHP) [17], analytic network process (ANP) [18], step-wise weight assessment ratio analysis (SWARA) [19], and base-criterion method (BCM) [20], have been suggested to acquire the criteria weights.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management

et al. 2021

Self Cite

View full text Add to dashboard Cite

Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing different opinions from a group of decision makers needs to ensure appropriate decision making. The group decision-making methods collect preferences of the decision makers and present the best preferences using mathematical equations. The best–worst method (BWM) is one of the recently introduced MCDM methods that requires fewer pairwise comparisons to obtain the criteria weights than the other MCDM methods. In this research, we develop a novel approach to group decision-making problems based on the BWM called G-BWM. This approach helps us to analyze the preferences of decision makers to carry out democratic decision making using the BWM structure. In order to assess the applicability of the proposed methodology and represent its novelty, two numerical examples from the literature with the application to supply chain management (SCM) (i.e., green supplier selection and supplier development/segmentation) are examined and discussed. The results demonstrate the performance of our proposed G-BWM for group decision making in terms of a large number of decision makers, ease of use and achieving democratic decisions in the decision-making process.

show abstract

“…This fact is based on some MCDM focuses on specific areas. For example, the AHP, BCM, and BWM methods focus more on weighting criteria [6]. Therefore, this method can be integrated with other methods with an excellent alternative ranking [7], such as MOORA, TOPSIS, VIKOR, and PROMOTHEE.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-AHP MOORA approach for vendor selection applications

Khoiry

Gernowo

Surarso

2021

regist. j. ilm. teknol. sist. inf.

View full text Add to dashboard Cite

Vendor selection is a critical activity in order to support the achievement of company success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, an evaluation is needed to see which vendors match the company's criteria. The purpose of this study is to evaluate and select the proposed vendor in a web-based decision support system (DSS) by using the fuzzy-AHP MOORA approach. The fuzzy-AHP method is used to determine the importance level of the criteria, while the MOORA method is used for alternative ranking. The results showed that vendor 4 has the highest score than other alternatives with a value of 0.2536. Sensitivity analysis showed that the proposed DSS fuzzy-AHP MOORA concept was already solid and suitable for this problem, with a low rate of change.

show abstract

Base-criterion on multi-criteria decision-making method and its applications

Cited by 56 publications

References 48 publications

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

A Criterion Utility Conversion Technique for Probabilistic Linguistic Multiple Criteria Analysis in Emergency Management

A Novel Approach for Group Decision Making Based on the Best–Worst Method (G-BWM): Application to Supply Chain Management

Fuzzy-AHP MOORA approach for vendor selection applications

Contact Info

Product

Resources

About