The purpose is to formulate and present algorithms of reconciliation of perception of information granules regarded as fuzzy sets. It also discussed a problem of a multi‐view reconciliation of perception of granular mappings and their reconciliation.
It is realized in the framework of logically‐oriented transformation of the membership functions and mappings.
A suite of optimization techniques is presented and their performance illustrated with the aid of numeric experiments.
An important step enhancing the development of fuzzy rule‐based systems.
The concept of reconciliation of information granules has been formulated for the first time. The algorithmic setting offers additional practical value.
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