one-third of the people with an age over twenty have some signs of degenerated discs. however, in most of the patients the mere presence of degenerative discs is not a problem leading to pain, neurological compression, or other symptoms. this paper presents an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interv...

Ontology is increasingly important in knowledge management and Semantic Web. The problem of it is that the construction of ontology is a time-consuming job and ontology engineers need to spend much time to maintain it. In this paper, we propose an incremental domain ontology learning method. This method can effectively extract new information from new domain documents to update the schema of do...

The paper presents IF-inference systems of Takagi-Sugeno type. It is based on intuitionistic fuzzy sets (IF-sets), introduced by K.T. Atanassov, fuzzy t-norm and t-conorm, intuitionistic fuzzy t-norm and t-conorm. Thus, an IFinference system is developed for ozone time series prediction. Finally, we compare the results of the IF-inference systems across various operators.

This paper proposes a fuzzy abductive inference to realize a creative thinking support system. The fuzzy logic is applied to Peng and Reggia's abductive inference for handling degrees of manifestations. Application of the new method to a diagnostic problem is shown and the e ectiveness of the proposed method is demonstrated by comparing the inferred results with those by the conventional fuzzy ...

Fuzzy Logic Controllers (FLCs) are circuits that implement fuzzy inference. Based on the manner in which the fuzzy inference is performed, digital FLCs can be classified as classic and improved [patyra]. In this paper we investigate the performance of the improved FLC during the control process.

Projects are essential for organizations to transform strategies into results, but uncertain events can impose risks achieve a certain objective. Risk management aims support an organization in deciding how deal with risks, prioritizing them through the application of Matrices (RMs). RMs or Probability and Impact is used decision-making, helping classify prioritize decide which will be ad-dress...

The main aim of the present paper is the implementation of a fault detection strategy to ensure the fault detection in a gas turbine which is presenting a complex system. This strategy is based on an adaptive hybrid neuro fuzzy inference technique which combines the advantages of both techniques of neuron networks and fuzzy logic, where, the objective is to maintain the desired performance of t...

implementation of enterprise resource planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. this research, in terms of purpose, is considered fundamental since it designs a new system for solving a fundamental problem and it is also an applied research because the research result is deployed in the...

This paper proposes a query expansion method using fuzzy abductive inference. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infers irredundant combinations of concept...

This paper proposes a query expansion method using fuzzy abductive inference for creative thinking support system. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infer...