{"title":"On the relationship between transition and inverse opposites in MMTD","authors":"Long Hong, Xian Xiao","doi":"10.1109/ICACI.2012.6463288","DOIUrl":null,"url":null,"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.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2012.6463288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
中真度度量是处理模糊现象的一种新的数值量化方法,在一些领域得到了有效的应用。MMTD基于媒介逻辑ML,其主要的哲学背景与此相反,限制了MMTD的应用领域。为避免对“最大差异”的弱化,提出了弱化极化、强化过渡的思想。在简要介绍ML和MMTD之后,用数学和逻辑方法描述了转换的概念。给出了Minkovski距离的非增量、邻点、最小真值公式和最小介质公式等概念和引理,讨论了逆对与迁移之间的关系。然后构造了谓词映射P: {T, F}2→{T, M, F},并建立了跃迁转化为对立极化的充分条件。与P相关的定理和推论表明,所有存在的过渡情况都可能是相反的过程,因此MMTD可以在更广泛的领域得到应用。