Supplier selection problem is an important issue in supply chain management and includes both tangible and intangible factors. Within the effect of the intangible factors, decision making in supplier selection problem includes a high degree of fuzziness and uncertainties in practice. In academic research to handle this uncertainty and vagueness, Fuzzy Set Theory is used as an effective tool. Th...

Distributor selection plays an important role in the supply chain management, particularly in the current competitive environment. The recent researches are mainly focused on the conceptual, descriptive and simulation. However, analyzing qualitative information is difficult by standard statistical analysis, which means that a proper quantitative method is desired for distributor selection in fu...

BACKGROUND Determining the most suitable anesthesia method for circumcision surgery plays a fundamental role in pediatric surgery. This study is aimed to present pediatric surgeons' perspective on the relative importance of the criteria for selecting anesthesia method for circumcision surgery by utilizing the multi-criteria decision making methods. METHODS Fuzzy set theory offers a useful too...

The supplier selection process attracted a lot of attention in the business management literature. This process takes into consideration several quantitative and qualitative variables and is usually modeled as a multi-attribute decision making (MADM) problem. A recognized shortcoming in the literature of classical MADM methods is that they don’t permit the identification of interdependencies am...

in the emerging supply chain environment, green supply chain risk management plays a significant role than ever. risk is an inherent uncertainty and has tendency to disrupt the typical green supply chain management (gscm) operations and eventually reduce the success rate of industries. in order to mitigate the consequences, a fuzzy multi-criteria group decision making modeling (fmcgdm) which co...

This paper focuses on multi-objective large-scale non-linear programming (MOLSNLP) problems with block angular structure. We extend the technique for order preference by similarity ideal solution (TOPSIS) to solve them. Compromise (TOPSIS) control minimizes the measure of distance, provided that the closest solution should have the shortest distance from the positive ideal solution (PIS) as wel...

This paper presents a fuzzy extension of TOPSIS (technique for order performance by similarity to ideal solution) with a new quantifier guided distance metric and majority opinion aggregator for multi-criteria decision making in a group decision environment. The proposed distance metric is based on OWA aggregators and provides an opportunity to use linguistic quantifiers to have linguistic defi...

This study proposes a holistic approach for determining critical attributes in e-learning measurements. There is an abundance of literature pertaining to the e-learning framework, but there is a shortage of literature on how to properly implement the framework in uncertainty with variance and interactive relationships. This paper also considers the nature of fuzziness in human perception and av...