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Using SCOR model with fuzzy MCDM approach to assess competitiveness positioning of supply chains: focus on shipbuilding supply chains
16 references·2 citing·43 second hop
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(1994)An overview of methods for determining OWA weights (2005)Intuitionistic preference relations and their application in group decision making☆ (2007)A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory (1972)Fuzzy decision making including unequal objectives (1978)A review of fuzzy set aggregation connectives (1985)A 2-tuple fuzzy linguistic representation model for computing with words (2000)Intuitionistic Fuzzy Aggregation Operators (2007)Pythagorean Membership Grades in Multicriteria Decision Making (2013)Integrating the Supply Chain (1989)What is the Right Supply Chain for Your Product (1997)The impact of supply chain management practices on competitive advantage and organizational performance (2004)Performance measurement for green supply chain management (2005)Logistics and Supply Chain Management (2021)L-fuzzy sets (1967)Fuzzy topological spaces (1968)Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets (2014)Analytical hierarchy process (1994)Aggregating individual judgments and priorities with the analytic hierarchy process (1998)Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends (2011)A literature review and a case study of sustainable supply chains with a focus on metrics (2012)Supply chain resilience: Conceptualization and scale development using dynamic capability theory (2017)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Set-Theoretic Methods for the Social Sciences (2012)
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369 cited
  • 2005Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model262 cited
  • Cited by

    • 2015Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014972 cited
    • 2012Multiple criteria decision making in supply chain management – Currently available methods and possibilities for future research24 cited