Generating consensus priority point vectors: a logarithmic goal programming approach
Computers and Operations Research
Extension of the expected value method for multiple attribute decision making with fuzzy data
Knowledge-Based Systems
Short communication: A novel method for hybrid multiple attribute decision making
Knowledge-Based Systems
Information Sciences: an International Journal
Grey relational analysis model for dynamic hybrid multiple attribute decision making
Knowledge-Based Systems
Consolidating SWOT analysis with nonhomogeneous uncertain preference information
Knowledge-Based Systems
An information mining method for deriving weights from an interval comparison matrix
Mathematical and Computer Modelling: An International Journal
Group consensus based on evidential reasoning approach using interval-valued belief structures
Knowledge-Based Systems
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In this paper, relations between a multiplicative consistent interval fuzzy preference relation and an additive consistent interval fuzzy preference relation are established. Based on the new relations, a new method (Algorithm 3) is proposed to derive interval weights by transforming a multiplicative consistent interval fuzzy preference relation into an additive consistent interval fuzzy preference relation, collecting additive consistent information (Algorithm 2), transforming back into multiplicative consistent information and calculating the interval weights by Eq. (20). Finally, two numerical examples are given to illustrate the new method.