In the field of multicriteria decision aid, considerable attention has been paid to supervised classification problems, especially to so-called sorting problems, where an order is assumed on the predefined classes. Recently, some non-supervised multicriteria classification procedures, also known as multicriteria clustering procedures, have been proposed aiming to discover data structures from a...

UNLABELLED OBJECTIVES Resource allocation is a challenging issue faced by health policy decisionmakers requiring careful consideration of many factors. Objectives of this study were to identify decision criteria and their frequency reported in the literature on healthcare decisionmaking. METHOD An extensive literature search was performed in Medline and EMBASE to identify articles reportin...

The purpose of this investigation is directed towards summarizing and researching of models for decision making support in multicriteria problems under uncertainties from fuzzy type. The models simulate (approximate) human decision making by means of applying of the fuzzy sets theory. Multicriteria fuzzy decision making problems will be considered in cases of fuzziness present in initial inform...

Escherichia coli produces insulin, interferons, growth factors, exoand endoproducts, e.g. enzymes, etc. In this paper we present a new approach for multicriteria decision making – InterCriteria Analysis to mathematical modelling of a fermentation process. It is based on the apparatus of index matrices and intuitionistic fuzzy sets. The approach for multicriteria analysis makes it possible to co...

Energy planning is a complex issue because of its multi-scale and multicriteria issues. In this contribution, a prospective analysis on the development of a multi-level and multicriteria decision-making structure dedicated to energy planning is developed. This analysis is based on an examination of the specificity of the energy supply chain as well as a state of the art aimed at classifying the...

In [Timonin, 2016] we developed a general axiomatic treatment of a popular multicriteria decision model the Choquet integral. This paper contains extensions of our results to the particular interesting special cases of the Choquet integral, analysis of some aspects of the Choquet integral model learning, and a discussion of the applications of our results in decision theory.