In order to help curb the spread of COVID-19 pandemic, this paper develops a multi-attribute decision-making framework for vaccine evaluation based on their major clinical characteristics and efficacy. Firstly, new multi-criteria Technique Order Preference by Similarity Ideal Solution (TOPSIS) modification has been constructed in an interval-valued Fermatean fuzzy (IVFF) environment, improving ...

the expansion of major cities regardless of the scientific planning principles has led to theemergence of negative urban development impacts in iran such as the degradation of natural resources andvarious forms of pollution. undoubtedly, urban rivers can enhance the ecological value of the earth to anoptimal extent. however, to benefit from these potentials, appropriate planning looks inevitabl...

38 A Fuzzy TOPSIS+Worst-Case Model for Personnel Evaluation Using Information Culture Criteria; Rasim M. Alguliyev, Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan Ramiz M. Aliguliyev, Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan Rasmiyya S. Mahmudova, Institute of Information Technology, Azerbaijan...

The objective of this article is to develop an empirically based framework for formulating and selecting a vendor in supply chain. This study applies the fuzzy set theory to evaluate the vendor selection decision. Applying Analytic Hierarchy Process (AHP) in obtaining criteria weights and applied Technique for Order Performance by Similarity to Idea Solution (TOPSIS) for obtaining final ranking...

This paper formulates supplier evaluation and selection as a multi-criteria decision-making (MCDM) problem with subjective and fuzzy preferences of decision makers over evaluation criteria. As an outcome, this paper provides decision makers with a decision support system that presents the Pareto fronts, a set of best possible high-quality suppliers and optimized business operation levels from s...

multi attribute decision making methods are considered as one of the most useful methods for solving ranking problems. in some decision making problems, while the alternatives for corresponding criteria are compared in a pairwise comparison manner, if the criteria are inherently fuzzy, debates will arise in ranking alternatives due to the closeness of the values of the criteria. in this researc...

The need for domestic salt every year has increased, both consumption and industrial salt. Some of the fisheries service programs include providing assistance to people's businesses, geomembrane, online marketing training. A large number farmers official work have caused implementation program be less than optimal, resulting in low production. This study uses a type-2 fuzzy method by integratin...

Utilizing renewable energies is one of the most important issues for economical and social significance in future human life. Choosing the best renewable energy among all other candidates is very important in this area. To address the issue, multi-criteria group decision making (MCGDM) methods with imprecise information could be employed to solve these problems. The aim of this paper is to prop...

Vehicle routing problem (VRP) is a combinatorial optimization and integer programming problem seeking to service a number of customers with a fleet of vehicles. Customer characteristics are neglected in traditional VRPs in the past due to the heterogeneity and ambiguousness. This study presents a vehicle route optimization model in consideration of customer characteristics with three major comp...

The evaluation and selection of reliable suppliers are an extremely important operational activity for any supply chain management. It is a hard problem since supplier typically multi-criteria decision-making involving several conflicting qualitative quantitative criteria on which the decision-maker’s knowledge usually vague imprecise. process may be biased while decision made by single expert ...