Identification and Classification of Aggregation Operators Using Bipolar Complex Fuzzy Settings and Their Application in Decision Support Systems

The idea of bipolar complex fuzzy (BCF) sets, as a genuine modification both sets and gives massive valuable framework for representing evaluating ambiguous information. In intelligence decision making based on BCF it is critical dilemma to compare or rank positive negative membership grades. this framework, we deliberated various techniques aggregating the collection information into singleton set, called weighted arithmetic averaging (BCFWAA), ordered (BCFOWAA), geometric (BCFWGA), (BCFOWGA) operators numbers (BCFNs). To illustrate feasibility original worth diagnosed approaches, demonstrated properties operators, in addition their capability that evaluated value set unique number. Further, multiattribute (“MADM”) refers technique employed compute brief dominant assessment opinions with multiattributes. main influence theory implementing field MADM tool using settings. Finally, benchmark used comparison prevailing justify cogency dominancy operators.