Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy inference to risk assessment on nuclear engineering systems
Applied Soft Computing
Fuzzy multi-criteria evaluation of industrial robotic systems
Computers and Industrial Engineering
Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean
Expert Systems with Applications: An International Journal
Risk evaluation of green components to hazardous substance using FMEA and FAHP
Expert Systems with Applications: An International Journal
An interval arithmetic based fuzzy TOPSIS model
Expert Systems with Applications: An International Journal
Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review: Risk evaluation approaches in failure mode and effects analysis: A literature review
Expert Systems with Applications: An International Journal
A method for the selection of customized equipment suppliers
Expert Systems with Applications: An International Journal
Multiple Criteria Inventory Classification Under Fuzzy Environment
International Journal of Fuzzy System Applications
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
Selection of Concrete Production Facility Location Integrating Fuzzy AHP with TOPSIS Method
International Journal of Productivity Management and Assessment Technologies
A fuzzy multi-criteria approach to point-factor method for job evaluation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 12.06 |
Failure mode and effects analysis (FMEA) is a widely used engineering technique for designing, identifying and eliminating known and/or potential failures, problems, errors and so on from system, design, process, and/or service before they reach the customer (Stamatis, 1995). In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are evaluated and a risk priority number (RPN) is obtained by multiplying these factors. There are significant efforts which have been made in FMEA literature to overcome the shortcomings of the crisp RPN calculation. In this study a fuzzy approach, allowing experts to use linguistic variables for determining S, O, and D, is considered for FMEA by applying fuzzy 'technique for order preference by similarity to ideal solution' (TOPSIS) integrated with fuzzy 'analytical hierarchy process' (AHP). The hypothetical case study demonstrated the applicability of the model in FMEA under fuzzy environment.