Fuzzy Set Theory Soft ComputingComputing, Soft
1992 fuzzy set theory, the theory of neural nets and the area of evolutionary programming have become known under the name of ‘computational intelligence’ or ‘soft computing’. The relationship between these areas has naturally become particularly close. In this review, however, we will focus ...
On advances in soft computing applied to databases and information systems Patrick Bosc, Guy De Tré, Jozo Dujmović, Allel Hadjali, ... Sławomir Zadrożny Pages 1-3 select article Possibility theory and formal concept analysis: Characterizing independent sub-contexts ...
First comprehensive, authoritative and up-to-date publication on Axiomatic Fuzzy Set theory Covers detailed mathematical proofs and algorithms Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 244) 12k Accesses This...
In this paper, we propose a general framework for the study of dual hesitant fuzzy rough sets integrating rough set theory with dual hesitant fuzzy set theory in which both constructive and axiomatic approaches are considered. In a constructive approach, by using a dual hesitant fuzzy relation, ...
This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to it...
This paper proposes a novel intuitionistic fuzzy C means clustering algorithm using intuitionistic fuzzy set theory. This algorithm incorporates another uncertainty which is the hesitation degree that arises while defining the membership function. In the construction of the algorithm, the following steps re...
Advances in Fuzzy Systemsis a series of specialized books aiming to provide an up-to-date picture of developments in fuzzy logic, ranging from the strictly theoretical to the latest applications. Topics covered will include fuzzy mathematical theory, soft computing, hardware implementations, and indust...
General l y, g i s assumed i ncreasi ng i n the sense of set i ncl usi on, but not necessarily additive as in the probabilistic case. The situation modeled by Sugeno is more a matter of guessing whether x A rather than a problem ...
FTS was originally presented by Song and Chissom (1993) [3], who introduced concepts from fuzzy set theory to the time series modeling. The main difference between FTS and traditional approaches is the adoption of fuzzy sets to represent observations instead of just the collected values. In sum...