A technique for Fuzzy Cognitive Maps learning, which is based on the minimization of a properly defined objective function using the Particle Swarm Optimization algorithm, is presented. The workings of the technique are illustrated on an industrial process control problem. The obtained results support the claim that swarm intelligence algorithms can be a valuable tool for Fuzzy Cognitive Maps l...

With the increase of data volume and visitor volume, the website faces great challenge in the environment of network. How to know the users’ requirements rapidly and effectively and recommend the required information to the user becomes the research direction of all websites. The researchers of recommendation system propose a series of recommendation system models and algorithms for the user. T...

Two-dimensional (2D) polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with 2D gels. Proteomics was built around the 2D gel. The idea that multiple proteins can be analyzed in parallel grew...

The paper focuses on the use of Fuzzy Cognitive Mapping (FCM) in Balanced Scorecard (BSC) performance measurement framework. We present a state art areas and BSC. highlight limitations BSC frameworks drawbacks identified strategic maps. then FCM algorithm its decision making as solution to drawbacks. elaborate an methodology supporting software application called Modeler for development hierarc...

This work develops a knowledge based system to autonomous navigation using Fuzzy Cognitive Maps (FCM). A new variant of FCM, named Dynamic-Fuzzy Cognitive Maps, (D-FCM) is used to model decision tasks and/or make inference in the robot or mobile navigation. Fuzzy Cognitive Maps is a tool that modeling qualitative structured knowledge way through concepts and causal relationships. The proposed ...

The necessity to use various tools – instructional media and technology for effective teaching using combined overlap block fuzzy cognitive maps (COBFCMS) defined by W.B. Vasantha Kandaswamy is analyzed in this paper. The combined overlap block FCM’s defined in this method become effective when the number of concepts can be grouped and are large in numbrs. In this paper we have analyzed the var...

The Imperative reasons for miracles through Holy Bible using Induced fuzzy cognitive maps (IFCMs) defined by T. Pathinathan is analyzed in this paper. The analysis confirmed that many miracles require “cooperation” between God and people to occur. In other words, it appears that in many cases, God uses a reciprocal relationship between Himself and the people, while operating miracles. Basically...

This paper discusses the issues of action aggregation and defuzziŽ cation in Mamdani-type fuzzy systems. The paper highlights the shortcomings of defuzziŽ cation techniques associated with the customary interpretation of the sentence connective ‘and ’ by means of the set union operation. These include loss of smoothness of the output characteristic and inaccurate mapping of the fuzzy response. ...

This paper discusses the issues of action aggregation and defuzziŽ cation in Mamdani-type fuzzy systems. The paper highlights the shortcomings of defuzziŽ cation techniques associated with the customary interpretation of the sentence connective ‘and ’ by means of the set union operation. These include loss of smoothness of the output characteristic and inaccurate mapping of the fuzzy response. ...

Abstract_ _ We prove a common coincidence point theorem for a non-fuzzy mapping and a pair of fuzzy mappings under a ' contraction condition on a metric space in the context of Hausdor¤ metric on the family of fuzzy sets. Further, we establish a common coincidence point theorem on a metric space with the d1 metric on fuzzy sets, which extends a number of recent results. As applications, we obta...