Logarithmic least squares prioritization and completion methods for interval fuzzy preference relations based on geometric transitivity
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Publication:508764
DOI10.1016/j.ins.2014.08.009zbMath1355.91040OpenAlexW2005311300MaRDI QIDQ508764
Publication date: 8 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.08.009
completionlogarithmic least squareinterval fuzzy preference relationgeometric transitivityprioritization
Reasoning under uncertainty in the context of artificial intelligence (68T37) Individual preferences (91B08)
Related Items (15)
A goal programming model of obtaining the priority weights from an interval preference relation ⋮ A two-stage linear goal programming approach to eliciting interval weights from additive interval fuzzy preference relations ⋮ And-like-uninorm-based transitivity and analytic hierarchy process with interval-valued fuzzy preference relations ⋮ Decision making with incomplete interval multiplicative preference relations based on stochastic program and interval category ⋮ Analytical-solution-based interval fuzzy utility acquisition and decision making with interval-valued fuzzy preference relations based on additive consistency ⋮ A goal programming approach to deriving interval weights in analytic form from interval fuzzy preference relations based on multiplicative consistency ⋮ A group decision making approach for trapezoidal fuzzy preference relations with compatibility measure ⋮ Logarithmic least squares approaches to deriving interval weights, rectifying inconsistency and estimating missing values for interval multiplicative preference relations ⋮ A general unified framework for interval pairwise comparison matrices ⋮ Consistency analysis and priority derivation of triangular fuzzy preference relations based on modal value and geometric mean ⋮ A new fuzzy programming method to derive the priority vector from an interval reciprocal comparison matrix ⋮ Consistency analysis and group decision making based on triangular fuzzy additive reciprocal preference relations ⋮ Acceptability measurement and priority weight elicitation of triangular fuzzy multiplicative preference relations based on geometric consistency and uncertainty indices ⋮ Calculating priority weights from interval-valued multiplicative hesitant fuzzy preference relations ⋮ The interval cognitive network process for multi-attribute decision-making
Uses Software
Cites Work
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