The concept of FL was first presented by Zadeh, which is able to translate our qualitative knowledge into reasoning systems. Hybrid intelligent Phased
Mission System (PMS) inspired by the proposed quantum is designed with the help of FL. As far as PMS is concerned, we used FL as a problem-solving tenancy system approach. FL provides a decent way to solve location-related queries that are ambiguous and contain inaccurate input information. Also, instead of applying a mathematical model to a specific system, FL incorporates rule-based IF A AND В TF1EN C flows to solve position-based queries. Therefore, it incorporates rule-based tactics into the proposed PMS framework to resolve location-related queries in real time and provide confidentiality protection for end users' current location. Also in FL, the concept of a fuzzy reasoning system is used. This is basically the process of formulating a mapping from a given input to an expected output. It consists of IF-THEN rules, logical operations and membership functions. FIS can be implemented using two techniques: Mamdani type and Sugeno type techniques. The fuzzy reasoning system process consists of five steps: fuzzifying input variables, applying fuzzy operators (AND or OR), inference from predecessors (predecessors) to results, teaming results through rules, and fuzzifying. In the proposed PMS framework, we integrate the concept of FIS and FL. Location-based query forwarding and response is implemented in a conceptual way of FIS.
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