This paper studies the possibility to deal with partial functions in fuzzy type theory. Among various ways how to represent them we chose introduction of a special value “undefined” laying outside the corresponding domain. In FTT, we can quite naturally utilize the description operator by extending its action also to subnormal fuzzy sets.

With fuzzy linguistic rules complex handwriting patterns can be represented in a broad linguistic domain, thus facilitating a flexible and widely valid recognition scheme. Based on the multi-layered human visual recognition system a multilevel fuzzy rule based classification system is proposed and explained. The constraints which influence the structure of this system applied to handwritten sym...

This paper presents two new methods for evaluating students’ answerscripts based on extended fuzzy grade sheets, where the evaluating values are represented by fuzzy numbers. The fuzzy modeling techniques are used to represent the evaluating values by fuzzy numbers to increase the flexibility of the system. In other words, it allows an evaluator to express his/her evaluating values by using fuz...

This Paper reports a design and development of web based Fuzzy Expert System in specific domain. In Fuzzy Inferencing technique Most Probable and Least Probable Symptoms is considered to drawing the conclusion. Euclidean Distance method is used to calculate accurate result and reliability for the diagnosis result. This Expert System contains two types of database; Static Database and Dynamic Da...

In this paper we present the N-norms/N-conorms in neutrosophic logic and set as extensions of T-norms/T-conorms in fuzzy logic and set. Also, as an extension of the Intuitionistic Fuzzy Topology we present the Neutrosophic Topologies. 1. Definition of the Neutrosophic Logic/Set: Let T, I, F be real standard or non-standard subsets of ]0, 1[, with sup T = t_sup, inf T = t_inf, sup I = i_sup, inf...

Information Overloadrq  is not a new term but with the massive development in technology which enables anytime, anywhere, easy and unlimited access; participation & publishing of information has consequently escalated its impact. Assisting userslq    informational searches with reduced reading surfing time by extracting and evaluating accurate, authentic & relevant information are the primary c...

Credit scoring or credit risk assessment is an important research issue in the banking industry. The major challenge of credit scoring is to recruit the profitable customers by predicting the bankrupts. The credit scoring carried out by traditional data driven approaches resulted only in an imprecise solution. Also the domain-driven based multiple criteria and multiple constraint (MC2) level pr...

In domain-specific modeling languages a variety of constraints originating from different resources have to be considered and integrated into a verification process to ensure a model’s correctness. The basis of common model checking methods are constraints derived from meta-model specifications. Besides the meta-model, these constraints often derive from a domain’s knowledge. In principle, the ...

Ontology plays an essential role in the formalization of business information (e.g., products, services, relationships of businesses) for effective human-computer interactions. However, engineering of domain ontologies turns out to be very labor intensive and time consuming. Recently, some machine learning methods have been proposed for automatic discovery of domain ontologies. Nevertheless, th...