• 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