DocumentCode :
596706
Title :
On the relationship between transition and inverse opposites in MMTD
Author :
Long Hong ; Xian Xiao
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
845
Lastpage :
849
Abstract :
Measure of medium truth degree MMTD is a new numerical quantification approach processing vague phenomenon, which has found effective application in some fields. MMTD is based on medium logics ML whose major philosophical background is the opposite that limits the application area of MMTD. To counter de-emphasizing `the greatest difference´ between the two sites of inverse opposite concept, the idea of weakening polarization and strengthening transition is presented in this paper. After introducing ML and MMTD in brief, the concepts of transition are described with mathematical and logical methods. Some concepts and lemmas that are the non-increment of Minkovski distance, neighbor-point, least truth formula and least medium formula are given to discuss the relations between inverse opposites and transition. Then, predicate mapping P: {T, F}2→{T, M, F} is constructed, and the sufficient condition for converting transition to opposing polarization is established. The theorem and corollaries relate to P show all cases existed transition may be process as inverse opposites, therefore MMTD can find application in wider fields.
Keywords :
formal logic; fuzzy set theory; MMTD; Minkovski distance; inverse opposite concept; least medium formula; least truth formula; measure-of-medium truth degree; medium logic; neighbor-point formula; numerical quantification approach; polarization weakening; predicate mapping; sufficient condition; transition concept; transition strengthening; Computers; Educational institutions; Entropy; Frequency modulation; Hafnium; Semantics; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463288
Filename :
6463288
Link To Document :
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