A typical rule in the rule base of a traditional fuzzy system contains only positive rules (weight is positive). In this case, mining algorithms only search for positive associations like “IF A Then do B”, while negative associations such as “IF A Then do not do B” are ignored. The concept of fuzzy sets was introduced by Zadeh in 1965 as a mathematical tool able to model the partial memberships...

While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy association rules. We show how, by a deliberate choice of fuzzy logic connectives, significantly increased expressivity is available at little extra cost. In particular, rule quality measures for negative rules can be co...

In this paper, we use parametric form of fuzzy number, then aniterative approach for obtaining approximate solution for a classof nonlinear fuzzy Fredholmintegro-differential equation of the second kindis proposed. This paper presents a method based on Newton-Cotesmethods with positive coefficient. Then we obtain approximatesolution of the nonlinear fuzzy integro-differential equations by an it...

The purpose of this work is to show that fuzzy Bernstein-Stancu operators introduced in [3] satisfy an A-statistical version of fuzzy Korovkin theorem. Some properties of these operators are also proved. An example of new fuzzy positive and linear operators is presented.

pomegranate fruit maturity status is commonly assessed based on external (skin) colour, juice colour and acidity of juice. some researchers have studied the correlation between the parameters of the skin colour and acidity, total soluble solids, citric acid and anthocyanins. this study describes the relationship existing between solar radiation and a colorimetric maturity index in the pomegrana...

This chapter introduces a rule-based perspective on the framework of fuzzy lattices, and the Fuzzy Lattice Reasoning (FLR) classifier. The notion of fuzzy lattice rules is introduced, and a training algorithm for inducing a fuzzy lattice rule engine from data is specified. The role of positive valuation functions for specifying fuzzy lattices is underlined and non-linear (sigmoid) positive valu...

logistics outsourcing has been at the top of the management agenda during recent decades. the selection of the proper service supplier is the key to success in logistic outsourcing firms could select the right supplier by applying appropriate methods and selection criteria. in this paper a new framework is proposed on the basis of weighted additive fuzzy programming approach and linear programm...

realistic mobility models can demonstrate more precise evaluation results because their parameters are closer to the reality. in this paper a realistic fuzzy mobility model has been proposed. this model has rules which are changeable depending on nodes and environmental conditions. it seems that this model is more complete than other mobility models.after simulation, it was found out that not o...

Random fuzzy theory offers an appropriate mechanism to model random fuzzy phenomena, with a random fuzzy variable defined as a function from a credibility space to a collection of random variables. Based on this theory, this paper presents the results of an investigation into the representation of properties of alternating renewal processes that are described by sequences of positive random fuz...