[图书][B] Multiple attribute decision making: methods and applications
Decision makers are often faced with several conflicting alternatives. How do they evaluate
trade-offs when there are more than three criteria? To help people make optimal decisions …
trade-offs when there are more than three criteria? To help people make optimal decisions …
[图书][B] New concepts and trends of hybrid multiple criteria decision making
When people or computers need to make a decision, typically multiple conflicting criteria
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …
Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method
WW Wu - Applied Soft Computing, 2012 - Elsevier
Knowledge is a key source of sustainable competitive advantage. In response to
increasingly drastic and competitive environments, many organizations wish to better utilize …
increasingly drastic and competitive environments, many organizations wish to better utilize …
Mining fuzzy association rules: an overview
M Delgado, N Manín, MJ Martin-Bautista… - Soft Computing for …, 2005 - Springer
The main aim of this paper is to present a revision of the most relevant results about the use
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …
of Fuzzy Sets in Data Mining, specifically in relation with the discovery of Association Rules …
Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry
PC Chang, CH Liu, CY Fan - Knowledge-Based Systems, 2009 - Elsevier
In order to obtain a better control of market trend and profit for the company, timely
identification of sales is very important for businesses. Upward and downward trends in …
identification of sales is very important for businesses. Upward and downward trends in …
Fuzzy-driven periodic frequent pattern mining
X Zhang, Y Qi, G Chen, W Gan, P Fournier-Viger - Information Sciences, 2022 - Elsevier
Frequent pattern mining (FM) has a wide range of applications in the real world. But FM
sometimes discovers many uninteresting patterns at the same time. Constraint-based FM …
sometimes discovers many uninteresting patterns at the same time. Constraint-based FM …
Mining associative classification rules with stock trading data–A GA-based method
YWC Chien, YL Chen - Knowledge-Based Systems, 2010 - Elsevier
Associative classifiers are a classification system based on associative classification rules.
Although associative classification is more accurate than a traditional classification …
Although associative classification is more accurate than a traditional classification …
Mining high-utility sequences with positive and negative values
X Zhang, F Lai, G Chen, W Gan - Information Sciences, 2023 - Elsevier
Sequence pattern discovery is a fundamental topic in the domain of data mining. It has been
widely used to solve various problems (eg, behavior pattern discovery, gene pattern …
widely used to solve various problems (eg, behavior pattern discovery, gene pattern …
Mining fuzzy association rules from questionnaire data
YL Chen, CH Weng - Knowledge-Based Systems, 2009 - Elsevier
Association rule mining is one of most popular data analysis methods that can discover
associations within data. Association rule mining algorithms have been applied to various …
associations within data. Association rule mining algorithms have been applied to various …
Fuzzy frameworks for mining data associations: fuzzy association rules and beyond
Looking for associations in data is one of the data mining tasks that has aroused more
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …
interest in the literature. In this area, incorporating concepts of fuzzy set theory is useful in …