A new approach for multiple objective decision making
Computers and Operations Research
Decision-making and performance measurement models with applications to robot selection
Computers and Industrial Engineering
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Facility location selection using fuzzy topsis under group decisions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback
Expert Systems with Applications: An International Journal
Development of expert decision model to monitor precision of solar silicon wafer machine line
Computers and Industrial Engineering
An empirical study of classification algorithm evaluation for financial risk prediction
Applied Soft Computing
Expert Systems with Applications: An International Journal
Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS
Expert Systems with Applications: An International Journal
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Extension of TOPSIS for decision-making problems with interval data: Interval efficiency
Mathematical and Computer Modelling: An International Journal
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
An extreme-distance approach to multiple criteria ranking
Mathematical and Computer Modelling: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Credit risk assessment and decision making by a fusion approach
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
A fuzzy TOPSIS model via chi-square test for information source selection
Knowledge-Based Systems
An integrated decision making model for district revitalization and regeneration project selection
Decision Support Systems
Selecting Adequate Security Mechanisms in E-Business Processes Using Fuzzy TOPSIS
International Journal of Fuzzy System Applications
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TOPSIS is a multiple criteria method to identify solutions from a finite set of alternativesbased upon simultaneous minimization of distance from an ideal point and maximization of distance from a nadir point. TOPSIS can incorporate relative weights of criterion importance. This paper reviews several applications of TOPSIS using different weighting schemes and different distance metrics, and compares results of different sets of weights applied to a previously used set of multiple criteria data. Comparison is also made against SMART and centroid weighting schemes. TOPSIS was not found to be more accurate, but was quite close in accuracy. Using first-order and second-order metrics were found to be quite good, but the infinite order (Tchebycheff norm, L-~) was found to decline in accuracy.