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Intuitionistic fuzzy (IFuzzy) have remarkable applications in complex real world problems
. Fuzzy set is the superset of IFuzzy, many applications have been successfully implemented in the field of computer science
. Soft computing is related to the system finds solution for the vague problems, introduced in early 90’s and became popular by its approach to the real world problem
. The development of IFuzzy leads to improvement in softcomputing method to analyze the complex system with complex inputs
. It is possible to build a hybrid intelligent system using IFuzzy methods
. The proposed study has derived IFuzzy methods for reliability problems in the soft computing and some definitions for the complex problems.
. Fuzzy set is the superset of IFuzzy, many applications have been successfully implemented in the field of computer science
. Soft computing is related to the system finds solution for the vague problems, introduced in early 90’s and became popular by its approach to the real world problem
. The development of IFuzzy leads to improvement in softcomputing method to analyze the complex system with complex inputs
. It is possible to build a hybrid intelligent system using IFuzzy methods
. The proposed study has derived IFuzzy methods for reliability problems in the soft computing and some definitions for the complex problems.
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