Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper i...

Every complex problem now days require multicriteria decision making to get to the desired solution. Numerous Multi-criteria decision making (MCDM) approaches have evolved over recent time to accommodate various application areas and have been recently explored as alternative to solve complex software engineering problems. Most widely used approach is Analytic Hierarchy Process that combines ma...

It is a very natural process for the mind to order objects of a set. To achieve this, we intuitively assign values (they can be real values, qualitative values like "good", "bad" or more generally lattice values) that are easy to handle and to compare. The general theory for this is measurement theory that aims to give general conditions on the set X of objects that need to be compared, and on ...

In the paper aspects of negative information and of information symmetry in context of uncertain information processing is considered. Both aspects are presented in frames of fuzzy sets theory involved in data aggregation and decision making process. Asymmetry of classical fuzziness and its orientation to positive information are pointed out. The direct dependence of symmetry of uncertain infor...

Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defin...

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...

This paper proposes an alternative mutual funds performance evaluation measure in the context of multicriteria decision making. Fund performance evaluation has been the topic of numerous studies for the last four decades with controversial results. We implement an original methodology on Greek domestic equity funds for the period 2000–2009. Employing a unique dataset of risk adjusted returns su...

In their basic form, multicriteria decision making problems have a simple structure: given a finite number of decisions and a finite number of criteria, each decision is evaluated on each criterion, resulting in some outcome such as profit, environmental impact, sales, or expected costs. Most often, these evaluations are assumed to be quantitative. As dominances rarely occur and multidimensiona...

Article history: Received 19 October 2011 Received in revised form 8 March 2013 Accepted 4 July 2013 Available online xxxx

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...