Reconciliation of perception of information granules and granular mappings

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 svstems. Originality/value - The concept of reconciliation of information granules has been formulated for the first time. The algorithmic setting offers additional practical value.