Titlebook: Axiomatic Fuzzy Set Theory and Its Applications; Xiaodong Liu,Witold Pedrycz Book 2009 Springer-Verlag Berlin Heidelberg 2009 AFS Theory.A

拐杖

書目名稱Axiomatic Fuzzy Set Theory and Its Applications影響因子(影響力)




書目名稱Axiomatic Fuzzy Set Theory and Its Applications影響因子(影響力)學(xué)科排名




書目名稱Axiomatic Fuzzy Set Theory and Its Applications網(wǎng)絡(luò)公開度




書目名稱Axiomatic Fuzzy Set Theory and Its Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Axiomatic Fuzzy Set Theory and Its Applications被引頻次




書目名稱Axiomatic Fuzzy Set Theory and Its Applications被引頻次學(xué)科排名




書目名稱Axiomatic Fuzzy Set Theory and Its Applications年度引用




書目名稱Axiomatic Fuzzy Set Theory and Its Applications年度引用學(xué)科排名




書目名稱Axiomatic Fuzzy Set Theory and Its Applications讀者反饋




書目名稱Axiomatic Fuzzy Set Theory and Its Applications讀者反饋學(xué)科排名

Relinquish

Latticestails, the readers may refer to [1, 3, 2]. Our purpose is to familiarize the readers with the concepts and fundamental results, which will be exploited in further discussion. Some results listed without proofs is left to the reader.

ARIA

formula

AFS Logic, AFS Structure and Coherence Membership Functionsy logic for the AFS structure are proposed and a new framework of determining coherence membership functions is developed by taking both fuzziness (subjective imprecision) and randomness (objective uncertainty) into account. Singpurwalla’s measure of the fuzzy events in a probability space has been

山頂可休息

沖擊力

萬靈丹

AFS Topology and Its Applicationsas, and elaborate on the main relations between these topological structures. Second, we apply the topology derived by a family of fuzzy concepts in ., where . is a set of simple concepts, to analyze the relations among the fuzzy concepts. Thirdly, we propose the differential degrees and fuzzy simil

無意

AFS Formal Concept and AFS Fuzzy Formal Concept Analysismatical treatment of fuzzy formal concept analysis referred to as an AFS Formal Concept Analysis (AFSFCA). It naturally augments the existing formal concepts to fuzzy formal concepts, with the aim of deriving their mathematical properties and applying them in the exploration and development of knowl

overhaul

AFS Fuzzy Clustering Analysis by taking advantage of the semantics captured by the AFS logic. Within the framework of AFS theory, we develop new techniques of feature selection, concept categorization and characteristic description (i.e.,the characteristic description of an object or a group of objects using the fuzzy concepts)

Ointment

AFS Fuzzy Classifierssion trees. The advantage of these classifiers is two-fold. First, they can mimic the human reasoning and in this manner offer a far more transparent and comprehensible way supporting the design of the classifiers. An important aspect is concerned with the simplicity of the design methodology and th