[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 …
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning
J Alcalá-Fdez, R Alcala… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The inductive learning of fuzzy rule-based classification systems suffers from exponential
growth of the fuzzy rule search space when the number of patterns and/or variables …
growth of the fuzzy rule search space when the number of patterns and/or variables …
Controlling inventory by combining ABC analysis and fuzzy classification
CW Chu, GS Liang, CT Liao - Computers & Industrial Engineering, 2008 - Elsevier
The objective of inventory management is to make decisions regarding the appropriate level
of inventory. In practice, all inventories cannot be controlled with equal attention. The most …
of inventory. In practice, all inventories cannot be controlled with equal attention. The most …
[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 …
Multiobjective genetic fuzzy systems: Review and future research directions
H Ishibuchi - 2007 IEEE International Fuzzy Systems …, 2007 - ieeexplore.ieee.org
Evolutionary algorithms have been successfully used in many studies to design accurate
and interpretable fuzzy systems under the name of genetic fuzzy systems. Recently …
and interpretable fuzzy systems under the name of genetic fuzzy systems. Recently …
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection
Interval-valued fuzzy sets have been shown to be a useful tool to deal with the ignorance
related to the definition of the linguistic labels. Specifically, they have been successfully …
related to the definition of the linguistic labels. Specifically, they have been successfully …
Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy
XZ Wang, CR Dong - IEEE Transactions on fuzzy systems, 2008 - ieeexplore.ieee.org
When fuzzy IF-THEN rules initially extracted from data have not a satisfying performance, we
consider that the rules require refinement. Distinct from most existing rule-refinement …
consider that the rules require refinement. Distinct from most existing rule-refinement …
Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification
Purpose This project attempts to present a space component inventory classification system
for space inventory replenishment and management. The authors propose to adopt a …
for space inventory replenishment and management. The authors propose to adopt a …
Design and analysis of genetic fuzzy systems for intrusion detection in computer networks
The capability of fuzzy systems to solve different kinds of problems has been demonstrated
in several previous investigations. Genetic fuzzy systems (GFSs) hybridize the approximate …
in several previous investigations. Genetic fuzzy systems (GFSs) hybridize the approximate …
A parallel genetic local search algorithm for intrusion detection in computer networks
The security of networked computers plays a strategic role in modern computer systems.
This task is so complicated because the determination of normal and abnormal behaviors in …
This task is so complicated because the determination of normal and abnormal behaviors in …