Title
On identity-discrepancy-contrary connection degree in SPA and its applications
Abstract
As a kind of new uncertainty theory, the set pair analysis (SPA) researches certainties and uncertainties from the whole. The main idea of SPA is: (1) Every system is comprised of certainty knowledge and uncertainty knowledge; (2) Certainties and uncertainties are inter-related, inter-influenced, inter-restricted, and inter-transformed even under certain condition, in every system; (3) A computation formula (identity-discrepancy-contrary (IDC) connection degree formula) which can embody the above idea fully is used to depict uniformly all kinds of uncertainties such as fuzzy uncertainty, random uncertainty, indeterminate-known uncertainty, unknown and unexpected incident uncertainty, and uncertainty which is resulted from imperfective information. This paper introduces the concepts and provides the applications of IDC connection degree and IDC connection number in SPA.
Year
DOI
Venue
2005
null
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Keywords
Field
DocType
connection degree formula,new uncertainty theory,idc connection number,uncertainty knowledge,certainty knowledge,idc connection degree,indeterminate-known uncertainty,unexpected incident uncertainty,random uncertainty,identity-discrepancy-contrary connection degree,fuzzy uncertainty,imperfect information
Set theory,Certainty,Computer science,Fuzzy logic,Measurement uncertainty,Fuzzy uncertainty,Calculus,Uncertainty theory,Computation
Conference
Volume
Issue
ISSN
3613 LNAI
null
16113349
ISBN
Citations 
PageRank 
3-540-28312-9
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yunliang Jiang113422.20
Yue-Ting Zhuang23549216.06
Yong Liu321345.82
Keqin Zhao491.52