in recent years, agriculture has become the prime polluter of natural resources. it is therefore essential to make assessments based on reliable indicators to ensure that an agricultural system remains not only productive, but also ecologically sound. a large area of arable land in guilan province is devoted to rice cultivation so the transition to environmentally sound agricultural practice in...

Yager introduced a fuzzy screening procedure to select, from a large class of alternatives, a small subset to be further investigated. In his methodology the Kleene-Dienes implication operator was employed to find the unit score of each alternative by each expert. Generalizing Yager’s principle we suggest the use of Sand R-implication operators to find the unit score.

Fuzzy associative memories (FAMs) and, in particular, the class of implicative fuzzy associative memories (IFAMs) can be used to implement fuzzy rule-based systems. In this way, a variety of applications can be dealt with. Since there are infinitely many IFAM models, we are confronted with the problem of selecting the best IFAM model for a given application. In this paper, we restrict ourselves...

In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Yager family of t-norms is considered as fuzzy composition. Yager family of t-norms is a parametric family of continuous nilpotent t-norms which is also one of the most frequently appli...

The purpose of this paper is to propose a new easily implementable approach to a linguistic summarization of trends that may be present in temporal data. It is based on fuzzy linguistic summaries of data (databases) in the sense of Yager (cf. Yager [20], Kacprzyk and Yager [9], and Kacprzyk, Yager and Zadrożny [10]) which in the form of natural language-like sentences subsume the very essence o...

In this paper, a new approach that applies fuzzy Delphi method in Simple Additive Weighting (SAW) is proposed to be used in the Maintenance Strategy Selection Problem (MSSP). This approach is based on representation of the importance of goals and each strategy capabilities to satisfy each maintenance goals with fuzzy numbers. Fuzzy Delphi method is applied for the assessment of the importance o...

One of the most popular methods of knowledge representation are the fuzzy rules. One of the ways of representation of fuzzy rules is the functional representation. From over eight decades a number of different fuzzy implications have been described, e.g. [5]-[9]. This leads to the following question: how to choose the proper function among basic fuzzy implications. This paper is a continuation ...

In this paper we present two results on combining approximate and default reasoning First we investigate the relationship between default logic and the formalism introduced by Yager to represent default knowledge in the framework of possibility theory Second we describe a natural representation of default priorities in Yager s formalism INDEX TERMS Default logic possibility theory fuzzy set pri...

In [14] Yager and Filev introduced the Induced Ordered Weighted Averaging (IOWA) operator. In this paper, we provide some IOWA operators to aggregate fuzzy preference relations in group decision making problems. In particular, we present the Importance IOWA (I-IOWA) operator, the Consistency IOWA (C-IOWA) operator and the Preference IOWA (P-IOWA) operator. We also provide a procedure to deal wi...

Ronald R. Yager Machine Intelligence Institute, Iona College New Rochelle, NY 10801 [email protected] (212)249-2047 ABSTRACT Fuzzy sets and other methods have been used to model a softening of constraints in CP problems. Here we suggest an approach to the softening of the CP problem at the meta level, the process used to aggregate the satisfactions to the individual constraints. We suggest the us...