Purpose 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. Design/methodology/approach It is realized in the framework of logically‐oriented transformation of the membership functions and mappings. Findings A suite of optimization techniques is presented and their performance illustrated with the aid of numeric experiments. Practical implications An important step enhancing the development of fuzzy rule‐based systems. Originality/value 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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