Introduction to n-adaptive fuzzy models to analyze public opinion on AIDS
Dr.W.B.Vasantha Kandasamy, Dr.Florentin Smarandache

TL;DR
This paper introduces n-adaptive fuzzy models capable of analyzing problems from multiple perspectives, and applies a 2-adaptive fuzzy model to study public opinion on HIV/AIDS.
Contribution
It defines the novel concept of n-adaptive fuzzy models and demonstrates their application in analyzing social issues like HIV/AIDS from multiple viewpoints.
Findings
The 2-adaptive fuzzy model effectively analyzes public opinion on HIV/AIDS.
Multiple perspectives yield richer insights into social perceptions.
The model's capacity to view problems in different ways enhances analysis depth.
Abstract
There are many fuzzy models like Fuzzy matrices, Fuzzy Cognitive Maps, Fuzzy relational Maps, Fuzzy Associative Memories, Bidirectional Associative memories and so on. But almost all these models can give only one sided solution like hidden pattern or a resultant output vector dependent on the input vector depending in the problem at hand. So for the first time we have defined a n-adaptive fuzzy model which can view or analyze the problem in n ways (n >=2) Though we have defined these n- adaptive fuzzy models theorectically we are not in a position to get a n-adaptive fuzzy model for n > 2 for practical real world problems. The highlight of this model is its capacity to analyze the same problem in different ways thereby arriving at various solutions that mirror multiple perspectives. We have used the 2-adaptive fuzzy model having the two fuzzy models, fuzzy matrices model and BAMs…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFuzzy Logic and Control Systems · Fuzzy Systems and Optimization · Neural Networks and Applications
