The degree of similarity or dissimilarity between the objects under study plays an important role. In vector space, especially, the cosine similarity measure is often used in information retrieval, citation analysis, and automatic classification. However, it scarcely deals with trapezoidal fuzzy information and multicriteria decision-making problems. For this purpose, a cosine similarity measur...

The environmental impact assessment (EIA) is a real problem of multicriteria decision making (MCDM) where information, as much quantitative as qualitative, coexists. The traditional methods of MCDM developed for the EIA discriminates in favor of quantitative information at the expense of qualitative information, because we are unable to integrate this latter information inside their procedure. ...

Fuzzy decision making is the collection of single or multicriteria techniques aiming at selecting the best alternative in case of imprecise, incomplete, and vague data. This chapter reviews the fuzzy decision making literature and summarizes the review results by tabular and graphical illustrations. The classification is based on the new extensions of fuzzy sets: Intuitionistic, hesitant, and t...

In this paper, we adopt supreme-utilities among fuzzy level (decision) vectors to propose a power allocation rule, its efficient extension and normalization in the framework of multicriteria fuzzy transferable-utility (TU) games. We also provide several axiomatic results to present the rationality for these rules. Based on different viewpoints, we introduce different formulations and dynamic re...

In this paper, a quantitative multicriteria futuristic fuzzy decision hierarchy (MFFDH)-based SWOT (strengths, weaknesses, opportunities and threats) analysis has been carried out to determine priorities among significant factors related to tourism’s internal and external environment. In MFFDH model, the fuzzy logic is combined with analytic hierarchy process (AHP) to overcome the uncertainty i...

Robust and resilient interconnected structures rely on decision procedures, both under uncertainty and multicriteria. In decision under uncertainty, we aim at finding a scoring procedure to determine an optimal decision without prior knowledge on the actual state of the world. In multicriteria decision making, the state of the world is known but we aim at ranking alternatives defined over a mul...

Decision-making problems (location selection) often involve a complex decision-making process in which multiple requirements and uncertain conditions have to be taken into consideration simultaneously. In evaluating the suitability of alternatives, quantitative/qualitative assessments are often required to deal with uncertainty, subjectiveness and imprecise data, which are best represented with...