Reconciliation of perception of information granules and granular mappings

Abstract

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.

Citation

Pedrycz, W. (2007), "Reconciliation of perception of information granules and granular mappings", Kybernetes, Vol. 36 No. 5/6, pp. 709-720. https://doi.org/10.1108/03684920710749785