On the evaluation and application of different scales for quantifying pairwise comparisons in fuzzy sets

DOI10.1002/mcda.4020030302zbMath0851.90002OpenAlexW1987701980MaRDI QIDQ4889756

Evangelos Triantaphyllou, S. H. Mann, Panos M. Pardalos, Freerk A. Lootsma

Publication date: 6 August 1996

Published in: Journal of Multi-Criteria Decision Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mcda.4020030302

zbMATH Keywords

fuzzy setsmulti-criteria decision makingevaluation of membership valuesexponential scalespairwise-comparison-based method

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50)

Related Items (13)

Linear programming based decomposition approach in evaluating priorities from pairwise comparisons and error analysis ⋮ IMPROVING CONSISTENCY EVALUATION IN FUZZY MULTI-ATTRIBUTE PAIRWISE COMPARISON-BASED DECISION-MAKING METHODS ⋮ A fuzzy multi-criteria outranking approach in support of business angels' decision-analysis process for the assessment of companies as investment opportunities ⋮ Development and evaluation of five fuzzy multiattribute decision-making methods ⋮ A note on consistency improvements of AHP paired comparison data ⋮ On some convexity properties of the least squares method for pairwise comparisons matrices without the reciprocity condition ⋮ Model for the Selection of Predictive Maintenance Techniques ⋮ A fuzzy multi-criteria outranking approach in support of business angels' decision analysis process for the assessment of companies as investment opportunities ⋮ Optimization algorithm for learning consistent belief rule-base from examples ⋮ Generalized golden sections, repeated bisections and aesthetic pleasure ⋮ Multi-criteria decision making method for models with the dominant criterion ⋮ A Multiplicative Alo-group Based Hierarchical Decision Model and Application ⋮ Characterization of aggregate fuzzy membership functions using Saaty's eigenvalue approach

Cites Work

• Exploring the interface between hierarchies, multiple objectives and fuzzy sets
• Unnamed Item

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