Objectives:The objective of this study is to reduce the interference of the signals between Wi-Fi devices where the fuzzy values of the frequencies are from the closed interval [0,1]. Method: A new methodology is introduced to reduce the interference of the signals between Wi-Fi devices that is fuzzy radio reciprocal L-labeling. Findings: Here the general formula of fuzzy radio reciprocal L-labeling has been newly introduced to apply this concept in chemical graphs. Further results and discussions are also proved in this connection using the fuzzy chemical graph structure, where the distance and the frequencies between the routers of Wi-Fi connections are assigned fuzzy weights based on fuzzy radio reciprocal L-labeling, so that interference can be reduced and the signal strength is optimized.
In this paper we analyzed the impact of Right to Information Act among public people using Neutrosophic Cognitive Map (NCM) which is the generalization of Fuzzy Cognitive Maps (FCMs). This paper has five sections. First section gives the information about the development of FCM and NCM. Second section gives the preliminaries of FCM's, NCM's and methods of determining the hidden pattern of NCM's. In section three, we give the description of the social issues regarding the non-awareness and impact of RTI. Section four gives adaption of NCM's to the problem and the final section gives the conclusion based on our study.
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