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 …

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 …

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 …

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 …

Evolutionary algorithms have been successfully used in many studies to design accurate
and interpretable fuzzy systems under the name of genetic fuzzy systems. Recently …

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 …

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 …

Purpose This project attempts to present a space component inventory classification system
for space inventory replenishment and management. The authors propose to adopt a …

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 …

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 …