This paper aims at studying at length the various reasons for miracles with incidents from the Holy Bible adopting the Neutrosophic Cognitive Maps , a generalization of Fuzzy Cognitive Maps. The content gives preliminaries of FCM and NCM with a descriptive account of the problem and the various miracles witnessed in the Bible using NCM. The data acquired is collated to conclude on the most essential component that results in the discharge of miracles in various instances..
The Imperative reasons for miracles through Holy Bible using combined overlap block fuzzy cognitive maps (COBFCMS) defined by W.B Vasantha Kandasamy 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 numbers. In this paper we analyzed the miracles and are large in number. In this paper we analyzed the miracles and find out the reasons how it is happened to people. This paper has six sections, first section gives the information about development of fuzzy cognitive maps, second section gives preliminaries of fuzzy cognitive maps, and combined overlap block fuzzy cognitive maps, in section three we explain about the miracles in bible, in section four we explain the method of determining their hidden pattern, in section five, we give the concept of the problem, final section gives the conclusion based on our studies.
This critical path method is very useful method in the project network to succeed the multifaceted jobs. The main benefit of this technique is to decrease the completion time of the jobs. In this paper the Interval valued Hexagonal fuzzy number is applied to determine the critical path. The procedure for critical path method is described. Finally Numerical example is presented.
In this article we define a new intuitionistic Decagonal fuzzy number and by using this Intuitionistic Decagonal fuzzy number we find the fuzzy critical path.Here we have taken the edge weights of the network in terms of Intuitionistic Decagonal fuzzy number. For Defuzzification of this Decagonal fuzzy number we derived a magnitude measure.
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