A general approach to criteria aggregation using fuzzy measures
International Journal of Man-Machine Studies
Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
WSC '91 Proceedings of the 23rd conference on Winter simulation
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
A fuzzy-based decision-making procedure for data warehouse system selection
Expert Systems with Applications: An International Journal
Vague knowledge search in the design for outsourcing using fuzzy decision tree
Computers and Operations Research
Information-Knowledge-Systems Management
A job placement intervention using fuzzy approach for two-way choice
Expert Systems with Applications: An International Journal
Evaluating and selecting software packages: A review
Information and Software Technology
Customizing ISO 9126 quality model for evaluation of B2B applications
Information and Software Technology
A three-phase integrated model for product configuration change problems
Expert Systems with Applications: An International Journal
Fuzzy application in service quality analysis: An empirical study
Expert Systems with Applications: An International Journal
Evaluating simulation software using fuzzy analytical hierarchy process
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Expert Systems with Applications: An International Journal
Personnel selection using analytic network process and fuzzy data envelopment analysis approaches
Computers and Industrial Engineering
Journal of Systems and Software
Computer Methods and Programs in Biomedicine
The Journal of Supercomputing
A multi criteria group decision making approach for collaborative software selection problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Discrete event computer simulation is one of the most widely used modeling tools for production systems. Object-oriented programming is revolutionizing computer simulation software packages. A fuzzy set approach for multi-criteria selection of object-oriented simulation software for analysis of production system is developed in this paper. The approach uses fuzzy set theory and algebraic operations of fuzzy numbers to characterize simulation software so that the strength and weakness of each alternative can be compared. The linguistic input from experts and decision makers are fuzzified and the results of the fuzzy inference are translated back to linguistic explanation. Further, by aggregating decision maker's preference (weighting) to the expert's rating, a single number for each candidate software can be obtained. One can use this number as an index to choose the most suitable simulation software for the specific application. A comparison between evaluations using simple triangular fuzzy numbers and using the real fuzzy set are presented.