mininge-businessmodelwebsiteassessmentThis paper proposes a novel application of fuzzy logic to web data mining for two basic problems of a website: popularity and satisfaction. Popularity means that people will
What Is Fuzzy Logic in Data Mining? Data miningis the process of identifying significant relationships in large sets of data, a field that overlaps with statistics, machine learning, and computer science. Fuzzy logic is a set of rules that can be used to reach logical conclusions from fuzzy s...
Intuitionistic fuzzy logics and Data Mining – possibilities for the future What is Data Mining? The answer of this question is so unclear, as well as the answer of the question for the areas of the AI. Again, there are different answers in respect of the opinions of the specialists, givi...
Web mining Security and privacy issues Data mining visualization Data mining systems in finance and e-commerce Competitive analysis of mining algorithms Interdisciplinary Field of Fuzzy Logic and Data Mining Applications in manufacturing engineering Applications in electrical engineering Applications in chemical...
Fuzzy logic is a multi-valued logic that allows a range of truth-values between 0 (completely false) and 1 (completely true) (Klenner et al., 2010). From:Computer-Aided Applications in Pharmaceutical Technology,2013 Also in subject area: ...
Advanced Data Mining and Applications(ADMA 2005) Qingzhan Chen, Jianghong Han, Yungang Lai, Wenxiu He& Keji Mao Part of the book series:Lecture Notes in Computer Science((LNAI,volume 3584)) Included in the following conference series:
Backpropagation algorithm in order to train an adaptive neuro-fuzzy inference system (ANFIS) backpropagationanfisneuro-fuzzysubstractive-clustering UpdatedDec 14, 2023 MATLAB Python implementation for the assignments of the course BITS F312 ( Neural Network and Fuzzy Logic ) ...
Thus, expert knowledge based fuzzy models are traditionally well interpretable3, which is the motivation of the approach with fuzzy logic. Expert knowledge is mainly expressed in Mamdani-type IF–THEN rules because this structure is more interpretable than T-S-type ones. Arguably, traditionally ...
In summary, these manuscripts forecast new values by performing the three steps implemented in sci-FTS: Fuzzification, Fuzzy Logic Relationship (FLR), and Defuzzification. More recently, such steps were also considered in medicine to understand better the occurrence of new cases and deaths caused by...
K. Goyal, Predicting Fault-Prone Software Module Using Data Mining Technique and Fuzzy Logic, International Journal of Computer and Communication Technology, vol. 2(3), pp. 56-63, (2010). Google Scholar [20] S. Aljahdali, Development of Software Reliability Growth Models for Industrial ...