A Spectrum of Fuzzy Clustering Algorithm and Its Applications

Human, a complex creation of God does not use digital logic in routine. Fuzzy logic was put forward to use the power of machine at the level of human communication. In this paper utility of fuzzy logic has been clarified. Fuzzy logic is a multivalued logic, which is akin to the human brain thinking. Since it takes into account the complexity of human beings it has tremendous use in medicine and bioinformatics. Thus in this paradigm shift fuzzy logic is a superset of conventional Logic (Boolean logic) that has been extended to handle problems akin to human thinking. According to Dr. Zedah\´s theory the process of fuzzification is a methodology to extend beyond Boolean logic. Fuzzy Logic takes into account all the factors and complexities of human being since human being is most complex creation. This logic has been shown as an extension to the conventional Boolean logic as it formulates degree of truth by membership function instead of value of true or false. Fuzzy is akin to brain\´s thinking and ascribes meaning to "higher", "smaller" etc. It tackles the real world, which is not boolean but complex. In Fuzzy Logic everything is a matter of degree shown by membership function. Here knowledge is shown as a collection of fuzzy constraints on a collection of variables and inference is viewed as a propagation of elastic constraints. In this paper it has been shown how fuzzy logic finds applications in medicine and psychological problems. How typical diseases like heart problem can be forecasted based on fuzzy logic for an individual based on the safety parameters for health. How Fuzzy Clustering Algorithms can be used for better analysis of data to get the information.