Analytic hierarchy process (AHP) is a utility theory based decision-making technique, which works on a premise that the decision-making of complex problems can be handled by structuring them into simple and comprehensible hierarchical structures. However, AHP involves human subjective evaluation, which introduces vagueness that necessitates the use of decision-making under uncertainty. The vagu...

Green supplier selection is an important part of green supply chain management. To improve the validity and reliability of green supplier selection, this paper constructed a model based on the improved intuitionistic fuzzy TOPSIS. Firstly, the concepts of intuitionistic fuzzy set and intuitionistic fuzzy number were given, and a series of algorithms and aggregation operators were defined; on th...

Supplier selection is a multi-criterion decision making problem under uncertain environments. Hence, it is reasonable to hand the problem in fuzzy sets theory (FST) and Dempster Shafer theory of evidence (DST). In this paper, a new MCDM methodology, using FST and DST, based on the main idea of the technique for order preference by similarity to an ideal solution (TOPSIS), is developed to deal w...

As the population ages and families become less able to offer care, need for long-term care among older people increases. Evaluation of daycare centers, which provide localized services, is essential growth direction these institutions. Nevertheless, present evaluation indexes do not adequately emphasize significance each index item or actual effectiveness an organization’s operations managemen...

Abstract Purpose of this paper: The objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (TOPSIS) approach to evaluate the most suitable RFID-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. Design/methodology/approach: R...

Manufacturing is transitioning from traditional and mass manufacturing to personalization, fast, intelligent production. Through full automation in various fields data sharing, Industry 4.0 (I4.0) contributes the digitalization of by enhancing industrial flexibility product customization. I4.0 being utilized as a strategy for advanced counter global competitiveness. A company’s outputs (MSOs) a...