The management of the health-care wastes is one of the most important problems in Istanbul, a city with more than 12 million inhabitants, as it is in most of the developing countries. Negligence in appropriate treatment and final disposal of the healthcare wastes can lead to adverse impacts to public health and to the environment. This paper employs a fuzzy multi-criteria group decision making ...

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...

Abstract Financial institutions use credit rating models to make lending, investing, and risk management decisions. Credit have been developed using a variety of statistical machine learning methods. These methods, however, are data-intensive dependent on assumptions about data distribution. This research offers an integrated fuzzy model address such issues. study proposes reduce problems. The ...

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...

In the present competitive world, the organizations need to endeavor constantly so as to make progress as well as maintaining their current position through employing the appropriate strategies. Organizations surroundings have been undergoing rapid changes among which the different demands and the variety of customers are to be mentioned. The scarce and limited number of sources and facilities ...

The technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi-attribute decision making (MADM) method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propo...

The aim of this study is to identify and prioritize the solutions of Knowledge Management (KM) adoption in Supply Chain (SC) to overcome its barriers. It helps organizations to concentrate on high rank solutions and develop strategies to implement them on priority. This paper proposes a framework based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by simi...

Hesitant fuzzy set (HFS), which allows the membership degree of an element to a set represented by several possible values, is considered as a powerful tool to express uncertain information in the process of multi-attribute decision making (MADM) problems. In this paper, we develop a novel approach based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and the maximizi...