A goal programming approach to deriving interval weights in analytic form from interval fuzzy preference relations based on multiplicative consistency

DOI10.1016/j.ins.2018.06.006zbMath1448.91085OpenAlexW2805433069MaRDI QIDQ2198240

Zhou-Jing Wang

Publication date: 9 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.06.006

zbMATH Keywords

consistencyanalytic solutiongoal programmingmulti-criteria decision makinginterval fuzzy preference relation

Mathematics Subject Classification ID

Decision theory (91B06) Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Individual preferences (91B08) Mathematical economics and fuzziness (91B86)

Related Items (11)

And-like-uninorm-based transitivity and analytic hierarchy process with interval-valued fuzzy preference relations ⋮ Deriving priority vector from pairwise comparisons matrix with fuzzy elements by solving optimization problem ⋮ Decision making with incomplete interval multiplicative preference relations based on stochastic program and interval category ⋮ Probabilistic consistency of stochastic multiplicative comparison matrices based on Monte Carlo simulation ⋮ An ordinal consistency-based group decision making process with probabilistic linguistic preference relation ⋮ Consistency and optimized priority weight analytical solutions of interval multiplicative preference relations ⋮ Axiomatic property based consistency analysis and decision making with interval multiplicative reciprocal preference relations ⋮ Uncertain multi-attribute group decision making based on linguistic-valued intuitionistic fuzzy preference relations ⋮ A new consistency definition of interval multiplicative preference relation ⋮ Consistency and consensus modeling of linear uncertain preference relations ⋮ A novel fuzzy dominant goal programming for portfolio selection with systematic risk and non-systematic risk

Cites Work

• Unnamed Item
• Building consensus in group decision making with an allocation of information granularity
• Gradualness, uncertainty and bipolarity: making sense of fuzzy sets
• The role of fuzzy sets in decision sciences: old techniques and new directions
• Eliciting dual interval probabilities from interval comparison matrices
• Logarithmic least squares prioritization and completion methods for interval fuzzy preference relations based on geometric transitivity
• Interval priorities in AHP by interval regression analysis
• Interval multiplicative transitivity for consistency, missing values and priority weights of interval fuzzy preference relations
• On compatibility of interval fuzzy preference relations
• Goal programming approaches to deriving interval weights based on interval fuzzy preference relations
• Consistency test and weight generation for additive interval fuzzy preference relations
• Fuzzy preference orderings in group decision making
• Uncertainty and rank order in the analytic hierarchy process
• Decision-making with a fuzzy preference relation
• A goal programming model of obtaining the priority weights from an interval preference relation
• Ensuring reliability of the weighting vector: weak consistent pairwise comparison matrices
• Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making
• Modeling uncertainty in multi-criteria decision analysis
• Interval weight generation approaches for reciprocal relations
• Incomplete interval valued fuzzy preference relations
• Some models for deriving the priority weights from interval fuzzy preference relations
• Transitivity frameworks for reciprocal relations: cycle-transitivity versus \(FG\)-transitivity
• A multi-step goal programming approach for group decision making with incomplete interval additive reciprocal comparison matrices
• SOME ISSUES ON MULTIPLICATIVE CONSISTENCY OF INTERVAL RECIPROCAL RELATIONS
• A Note on the Paper “Fuzzy Analytic Hierarchy Process: Fallacy of the Popular Methods”

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