In spatial reasoning, relationships between spatial entities play a major role. In image
interpretation, computer vision and structural recognition, the management of imperfect …

Fuzzy sets have a great progress in every scientific research area. It found many application
areas in both theoretical and practical studies from engineering area to arts and humanities …

Z-number is an effective model to describe uncertainty in the real world. Under the condition
that uncertainty reasoning is an important issue to process information, how to achieve Z …

1. Intuitionistic Fuzzy Sets Page 1 1. Intuitionistic Fuzzy Sets The intuitionistic fuzzy set (IFS)
theory is based on: • extensions of corresponding definitions of fuzzy set objects, and • definitions …

There are three basic concepts that underlie human cognition: granulation, organization and
causation. Informally, granulation involves decomposition of whole into parts; organization …

The clustering problem is cast in the framework of possibility theory. The approach differs
from the existing clustering methods in that the resulting partition of the data can be …

This book presents a systematic treatment of deductive aspects and structures of fuzzy logic
understood as many valued logic sui generis. Some important systems of real-valued …

Aggregation is the process of combining several numerical values into a single
representative value, and an aggregation function performs this operation. These functions …

Based upon the works by Zadeh (1973, 1975), in this paper, a special dynamic process with
linguistic values as its observations is defined and studied. This dynamic process is called …

Mathematical Principles of Fuzzy Logic provides a systematic study of the formal theory of
fuzzy logic. The book is based on logical formalism demonstrating that fuzzy logic is a well …