Decision making is the process of finding the best option among the feasible alternatives. In classical multiple-criteria decision making methods, the ratings and the weights of the criteria are known precisely. However, if decision makers are not able to involve uncertainty in the defining of linguistic variables based on fuzzy sets, the intuitionistic fuzzy set theory can do this job very wel...

In this paper we introduce an approach for solving multiattribute decision-making problems in which there are several decision-makers who individually and independently elicit their preferences. The preferences of each decision-maker are imprecise and represented by an imprecise additive multiattribute utility function. We allow for incomplete information on the component utility functions and ...

This article aims to present with more details, the multicriteria decision aid SAPEVO-M-NC (Simple Aggregation of Preferences Expressed by Ordinal Vectors - Non-Compensatory Multi Decision Makers). It is a new version SAPEVO-M method, an ordinal, non-compensatory nature and possibility acting multiple makers. As result, method provides information on partial weights, indicating relative importa...

Decision making is one of the most complex administrative processes in management. In circumstances where the members of the decision making team are uncertain in determining and defining the decision making criteria, fuzzy theory provides a proper tool to encounter with such uncertainties. However, if decision makers cannot reach an agreement on the method of defining linguistic variables base...

When there are multiple competing objectives in a decision-making process, Multi-Attribute Choice scoring models are excellent tools, permitting the incorporation of both subjective and objective attributes. However, their accuracy depends upon the subjective techniques used to construct the attribute scales and their concomitant weights. Conventional techniques using local scales tend to overe...

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...

In the recent years, supply chain management (SCM) has gained immense importance since enterprises are now competing on supply chain rather than manufacturing or service operations. One of the key strategic considerations in the supply chain is supplier selection problem. The supplier selection problem is a multi objective problem involving both qualitative and quantitative factors. These facto...

In condition based maintenance (CBM) optimization, the main optimization objectives include maximizing reliability and minimizing maintenance costs, which are often times conflicting to each other. In this work, we develop a physical programming based approach to deal with the multi-objective condition based maintenance optimization problem. Physical programming presents two major advantages: (...

Since the concept of linguistic variables was proposed, various kinds of linguistic terms have been used to express decision makers’ preference information in order to solve group decision making (GDM) problems. Probabilistic linguistic term set (PLTS) is a novel extension form of the existing linguistic variables. Based on it, the probabilistic linguistic preference relation (PLPR) has been pr...

Selection of Web services refers to a concept of choosing the appropriate Web services in order to perform services with higher performance. In this paper, we present an approach to solve Web service selection problems based on the Quality of Services (QoS). The proposed approach considers the power of decision makers as well as accounts for the preferences of service consumers to determine the...