AbstractIn this paper, we first define the concepts of incomplete fuzzy preference relation, additive consistent incomplete fuzzy preference relation and multiplicative consistent incomplete fuzzy preference relation, and then propose two goal programming models, based on additive consistent incomplete fuzzy preference relation and multiplicative consistent incomplete fuzzy preference relation respectively, for obtaining the priority vector of incomplete fuzzy preference relation. These two goal programming models are also extended to obtain the collective priority vector of several incomplete fuzzy preference relations. Finally, two illustrative numerical examples are given to verify the developed models
This paper presents priority based fuzzy goal programming approach to multi-objective quadratic prog...
Fuzzy preference relation is a common tool to express the uncertain preference information of decisi...
We propose two straightforward methods for deriving the priority vector associated with a fuzzy pref...
AbstractIn this paper, we first define the concepts of incomplete fuzzy preference relation, additiv...
AbstractThe priority problem of incomplete preference relations is investigated. Using the transform...
AbstractThe priority problem of incomplete preference relations is investigated. Using the transform...
This paper introduces a computational method of solving fully fuzzy multi objective linear programmi...
We propose optimal priority methods on the incomplete intuitionistic fuzzy preference relation (IFPR...
AbstractThe aim of this paper is to show that the normalizing rank aggregation method can not only b...
International audienceHesitant fuzzy preference relations (HFPRs) are efficient tools to denoting th...
EnWe consider the problem of normalizing the priority vectors associated with fuzzy preference relat...
A popular way for eliciting the expert’s preferences is given by fuzzy preference relations, hereaft...
This paper investigates the consistency definition and the weight-deriving method for additive inter...
In this paper we compare, by means of numerical simulations, seven different methods for reconstruct...
In this paper we compare, by means of numerical simulations, seven different methods for reconstruct...
This paper presents priority based fuzzy goal programming approach to multi-objective quadratic prog...
Fuzzy preference relation is a common tool to express the uncertain preference information of decisi...
We propose two straightforward methods for deriving the priority vector associated with a fuzzy pref...
AbstractIn this paper, we first define the concepts of incomplete fuzzy preference relation, additiv...
AbstractThe priority problem of incomplete preference relations is investigated. Using the transform...
AbstractThe priority problem of incomplete preference relations is investigated. Using the transform...
This paper introduces a computational method of solving fully fuzzy multi objective linear programmi...
We propose optimal priority methods on the incomplete intuitionistic fuzzy preference relation (IFPR...
AbstractThe aim of this paper is to show that the normalizing rank aggregation method can not only b...
International audienceHesitant fuzzy preference relations (HFPRs) are efficient tools to denoting th...
EnWe consider the problem of normalizing the priority vectors associated with fuzzy preference relat...
A popular way for eliciting the expert’s preferences is given by fuzzy preference relations, hereaft...
This paper investigates the consistency definition and the weight-deriving method for additive inter...
In this paper we compare, by means of numerical simulations, seven different methods for reconstruct...
In this paper we compare, by means of numerical simulations, seven different methods for reconstruct...
This paper presents priority based fuzzy goal programming approach to multi-objective quadratic prog...
Fuzzy preference relation is a common tool to express the uncertain preference information of decisi...
We propose two straightforward methods for deriving the priority vector associated with a fuzzy pref...