In decision-making, information is usually provided by means of fuzzy preference relations. However, there may be cases in which experts do not have an in-depth knowledge of the problem to be solved, and thus their fuzzy preference relations may be incomplete, i.e. some values may not be given or may be missing. In this paper we present a procedure to find out the missing values of an incomplet...

Mathematical theories are pervaded with the use of partial orders and more general preorders also called quasi orders i e re exive and transitive binary rela tions Preorders also play an important role in appli cations for instance as preference relations in multi criteria decision aid techniques The observation that classical relations do not allow to express partial or graded relationships ha...

The paper introduces a new approach to preference structure, where from a weak preference relation derive the following relations:strict preference, indifference and incomparability, which by aggregations and negations are created and examined. We decomposing a preference relation into a strict preference, anindifference, and an incomparability relation.This approach allows one to quantify diff...

In Group Decision Making problems experts have to provide their preferences about some alternatives to solve a particular problem. Fuzzy Preference Relations are a very widely preference representation format that experts can use to express their opinions about the alternatives. But due to their own personal background and abilities experts are not often capable of provide complete and consiste...

As we may have a set of possible values when comparing alternatives (or criteria), the hesitant fuzzy preference relation becomes a suitable and powerful technique to deal with this case. This paper mainly focuses on the multiplicative consistency of the hesitant fuzzy preference relation. First of all, we explore some properties of the hesitant fuzzy preference relation and develop some new ag...

Fuzzy set theory provides a framework in which natural language expressions can be modelled mathematically, thereby even taking the vagueness of linguistic terms into account. In fuzzy systems a linguistic term (e.g. fast) is represented by a fuzzy set, while a linguistic modifier (e.g. very) is modelled by an operator (also known as hedge) transforming a fuzzy set into another. In the paper fi...

The outbreak of COVID-19 in 2019 has brought greater international attention to emergency decision making and management. Since situations are often uncertain, prevention control crucial. For better prevent control, according the characteristics incidents, paper proposes a new form linguistic expression trape-zoidal Pythagorean fuzzy probabilistic variables express decision-making information. ...

A new hesitant fuzzy set (HFS)-ELECTRE for multi-criteria group decision-making (MCGDM) problems is developed in this paper. In real-world applications, the decision makers (DMs)’ opinions are often hesitant for decision problems; thus, considering the exact data is difficult. To address the issue, the DMs’ judgments can be expressed as linguistic variables that are converted into the HFSs, con...