Abstract Probabilistic linguistic term sets (PLTSs) play an important role in multi-criteria decision-making(MCDM) problems because it can not only describe objects with several possible terms, but also represent the proportion of each term, which effectively avoid distortion decision information to a greater extent and ensure credibility results. First, compare PLTS more simply reasonably, we ...

Determining the number of clusters in a data set is an essential yet difficult step in cluster analysis. Since this task involves more than one criterion, it can be modeled as a multiple criteria decision making (MCDM) problem. This paper proposes a multiple criteria decision making (MCDM)-based approach to estimate the number of clusters for a given data set. In this approach, MCDM methods con...

performance evaluation of different organizations, is considered as a very important issue in the present literature. among the organizations, insurance companies, as part of protective services and with compensating roles in the economy of each country, have been studied extensively. it is maintained that successful operation of these industries will motivate other industries as well. in order...

The main purpose of this paper is to develop an integrated fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method to improve the quality of decisionmaking for ranking alternatives. The proposed fuzzy TOPSIS method mainly accounts for the classification of criteria, the integrated weights of criteria and sub-criteria, and the performance values of decision matrix. I...

Improperly handled hazardous waste can pose significant threat to human health and the environment. Safety of waste transportation is an important aspect of hazardous waste management. This makes the evaluation and selection of the most suitable hazardous waste transportation firm (HWTF) a crucial problem for hazardous waste generators. A number of factors affect the selection of the proper HWT...

We propose a multiple-criteria decision-making (MCDM) method based on Maximum A Posteriori (MAP) estimation to analyze users’ physiological status either normal or abnormal. The decision-making problem is formulated using MAP estimation and is turned out to be MCDM problem given the assumption that all probability density functions (pdfs) follow exponential forms, especially Gaussian. It indica...

Most studies in recent decades focused on transforming linear economics into circular through recovering and remanufacturing the products. Circular Economies (CE) aim to minimize usage of resources by utilizing waste production as new or raw materials. Interconnectivity between parties industrial system provides decision-makers with rich information anticipation failure. Industry 4.0 technologi...