Decision makers (DMs) face different levels of uncertainty throughout the decision making process. In particular, natural language is generally subjective or ambiguous when used to express perceptions and judgments. The aim of this paper is to extend the VIKOR method and develop a methodology for solving multi-criteria decision making (MCDM) problems with stochastic data. The weights of the sto...

This paper seeks to test and to determine a suitable aggregation method to represent a set of rankings made by individual decision makers (DMs). A case study for triage prioritization is used to test the aggregation methods. The triage is a decision-making process with which patients are prioritized according to their medical condition and chance of survival on arrival at the emergency departme...

We consider a group decision-making problem within multi-attribute utility theory, in which the relative im­ portance of decision makers (DMs) is known and their preferences are represented by means of an additive function. We allow DMs to provide veto values for the attribute under consideration and build veto and adjust functions that are incorporated into the additive model. Veto functions c...

This paper proposes a personalized comprehensive cloud-based method for heterogeneous multi-attribute group decision-making (MAGDM), in which the evaluations of alternatives on attributes are represented by LTs (linguistic terms), PLTSs (probabilistic linguistic term sets) and LHFSs hesitant fuzzy sets). As an effective tool to describe LTs, cloud model is used quantify qualitative evaluations....

Original scientific paper This research gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic FuzzyTOPSIS (IFT) methods. This study deals with an evaluation methodology based on the AHP-IFT where the uncertainties are handled with linguistic values. First, the supplier selection problem is formulated using AHP and, then, it is used to determine the weights of the criteria...

In this thesis, we focus on automatic coarse-grained composition of adaptive user interfaces relying on task trees. To achieve this goal we collect multiple user and context profiles from independent providers, and supply consolidated profiles to independent decision makers (DMs) according to their own profile models. Each DM chooses the best-fit component for a given task according to the supp...

We propose a formal approach to the problem of transforming uncertainty into risk via information revelation processes. Abstractions and formalizations regarding information acquisition processes are common in different areas of information sciences. We investigate the relationships between the way information is acquired and the continuity properties of revelation processes. A class of revelat...

Accurately simulating the dynamic evolution of behaviors different decision-makers (DMs) is essential for identifying solutions to transboundary water conflicts. The purpose this study present a evolutionary analysis model behavior users and solving problem To accomplish goal, revenue function, which can objectively evaluate relative preferences DMs in conflicts, was constructed improve graph c...

Supplier selection is one the main concern in the context of supply chain networks by considering their global and competitive features. Resilient supplier selection as generally new idea has not been addressed properly in the literature under uncertain conditions. Therefore, in this paper, a new multi-criteria group decision-making (MCGDM) model is introduced with interval-valued fuzzy sets (I...