In this study an academician selection system has been developed for universities using fuzzy weighting and fuzzy ranking. In the system, effects of many criteria and views of many experts are evaluated for selection. Number of criteria, number of linguistic variables of criteria, names of linguistic variables, membership functions of linguistic variables, number of experts and alternatives can...

The authors [2-5] have studied and presented the quantitative method of linguistic variables and linguistic threshold by fuzzy set. Chien-Hua Wang, Chin-Pang Tzong proposed an algorithms for mining fuzzy association rule [2]. In this paper, we extend the algorithms proposed in [2] for number data and linguistic variables by using hedge algebras.

It is shown that any sets of linguistic values of linguistic variables can be axiomatized, which leads to a notion of hedge algebras. Some intuitive properties of linguistic hedges, which are a basis of the axiomatization of the hedge algebras, are discussed informally. The characteristics of the hedge algebras depend on such a discussion and they seem to reflect the natural structure of sets o...

In this paper, we define the concept of uncertain multiplicative linguistic preference relation, and introduce some operational laws of uncertain multiplicative linguistic variables. We propose some new aggregation operators including the uncertain linguistic geometric mean (ULGM) operator, uncertain linguistic weighted geometric mean (ULWGM) operator, uncertain linguistic ordered weighted geom...

To describe both certain linguistic neutrosophic information and uncertain linguistic neutrosophic information simultaneously in the real world, this paper originally proposes the concept of a linguistic neutrosophic cubic number (LNCN), including an internal LNCN and external LNCN. In LNCN, its uncertain linguistic neutrosophic number consists of the truth, indeterminacy, and falsity uncertain...

The paper deals with an idea of a linguistic knowledge representation and a linguistic inference. Relational linguistic fuzzy model with weights of rules is utilising. The probability of linguistic values of antecedent and consequent variables, calculated according to Zadeh’s definition, is proposed to formulate a linguistic fuzzy model of a stochastic system. The linguistic inference procedure...