In this paper, we introduce the notion of multicriteria lotteries. The interest of this lies in the fact that decision under uncertainty and multicriteria decision making are formally equivalent when the set of states of the world is nite in the uncertainty framework. Using this analogy, together with an extension of the Anscombe-Aumann representation theorem to the non-additive case due to Wak...

It is very important to identify, preserve, and transfer knowledge to those who need it within firm. However, the identification of knowledge and especially tacit knowledge is a complex process because knowledge cannot be measured quantitatively. In this paper we present an approach for inducing a set of collective decision rules representing a generalized description of the preferential inform...

The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework based on multicriteria decision analysis and fuzzy logic to analyze different remediation alternatives for the Zapadnoe tailings, which simultaneously...

Linguistic variables are very useful to evaluate alternatives in decision making problems because they provide a vocabulary in natural language rather than numbers. Some aggregation operators for linguistic variables force the use of a symmetric and uniformly distributed set of terms. The need to relax these conditions has recently been posited. This paper presents the induced unbalanced lingui...

In the field of multicriteria decision analysis, the most distinctive characteristic of the monotone measure, or called the nonadditive measure, the fuzzy measure, the capacity, is that it can adequately and flexibly describe the interactions between the decision criteria. Traditionally, the interaction described with the monotone measure can be measured by the various kinds of the probabilisti...

Recently, resolving the problem of evaluating and selecting the Cloud Infrastructure Service (CIS) according to trust criteria has become a complex software engineering process. Cloud service Providers (CSPs) and Cloud Service Requesters (CSRs)both have to face great uncertainty and complexity regarding the degree of CIS trustworthiness. Therefore, many of the normalization methods have been de...

A game is a decision-making situation with many players, each having objectives that conflict with each other. The players involved in the game usually make their decisions under conditions of risk or uncertainty. In this paper, a fuzzy approach is proposed to solve the strategic game problem in which the pure strategy set for each player is already defined. Based on the concepts of fuzzy set t...

It is nowadays increasingly realized that environmental and resource problems generally have complicated economie and ecological dimensions. Therefore, there is a clear need for models offering a comprehensible and operational representation of a real-world environmental system. A great variety of quantitative (descriptive and forecasting) models models nas been developed for compound environme...

Spatial problems are often characterised by incomplete information, multiple conflicting evaluation criteria and a heterogeneous group of decision-makers. Implementation of existing analytical decision–making methods in a Spatial Decision Support System has been characterised by difficulties when dealing with uncertainty, criteria standardization, and group decision-making where there is no con...