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ArticleDecision risk analysis for an interval TOPSIS method

Ruey‐Chyn Tsaur2011

Article2011

Decision risk analysis for an interval TOPSIS method

Ruey‐Chyn Tsaur

129 citations·0/0 files stored·Applied Mathematics and Computation

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Multi-Criteria Decision Making Decision Support System Applications Optimization and Mathematical Programming

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References

1981Multiple Attribute Decision Making: Methods and Applications 1983Multiple Criteria Decision Making 2006An extension of TOPSIS for group decision making 1994TOPSIS for MODM 2005Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment 2003Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric 2004Multi-criteria analysis of alternative-fuel buses for public transportation 2005An algorithmic method to extend TOPSIS for decision-making problems with interval data

Cited by

2015A prospect theory-based interval dynamic reference point method for emergency decision making 2013Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite 2018One Belt one Road, but several routes: A case study of new emerging trade corridors connecting the Far East to Europe 2016A general evidential reasoning algorithm for multi-attribute decision analysis under interval uncertainty 2023

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Year2011

Typearticle

Published2011-10-27

VenueApplied Mathematics and Computation

ISSN-L0096-3003

Languageen

Citations129

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.amc.2011.10.001

openalex_workW2073310260

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Complex sensitivity analysis in Multi-Criteria Decision Analysis: An application to the selection of an electric car

2012Selection of an optimal refinement condition to achieve maximum tensile properties of Al–15%Mg2Si composite based on TOPSIS method

2013A TOPSIS based design of experiment approach to assess company ranking

2015A direct projection-based group decision-making methodology with crisp values and interval data