Criteria for evaluating fuzzy ranking methods
Fuzzy Sets and Systems
Fuzzy quality and analysis on fuzzy probability
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
First Course On Fuzzy Theory And Applications.
First Course On Fuzzy Theory And Applications.
Encyclopedia And Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures (Series on Quality, Reliability and Engineering Statistics)
Fuzzy estimation for process capability indices
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Development of fuzzy process accuracy index for decision making problems
Information Sciences: an International Journal
A new perspective on fuzzy process capability indices: Robustness
Expert Systems with Applications: An International Journal
Fuzzy process capability analyses with fuzzy normal distribution
Expert Systems with Applications: An International Journal
Process capability analyses based on fuzzy measurements and fuzzy control charts
Expert Systems with Applications: An International Journal
Fuzzy process capability indices with asymmetric tolerances
Expert Systems with Applications: An International Journal
Confidence interval of generalized Taguchi index
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Process capability indices (PCIs) are mainly used in industry in order to measure the capability of a process to produce products meeting specifications. Traditionally, the specifications are defined as crisp numbers. Sometimes, specification limits can be expressed as linguistic terms. Traditional PCIs can not be applied for this situation. In this paper, PCIs are analyzed under fuzzy environment. The fuzzy process capability analyses are developed when the specifications limits are represented by triangular and trapezoidal fuzzy numbers. The developed approaches are applied to teaching processes and the fuzzy PCIs are compared based on two different fuzzy ranking methods.