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A NOVEL INTEGRATED MCDM-SWOT-TOWS MODEL FOR THE STRATEGIC DECISION ANALYSIS IN TRANSPORTATION COMPANY
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References

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  • 2010SELECTION OF RATIONAL DISPUTE RESOLUTION METHOD BY APPLYING NEW STEP‐WISE WEIGHT ASSESSMENT RATIO ANALYSIS (SWARA)1,566 cited
  • 2019Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)1,435 cited
  • 2012Optimization of Weighted Aggregated Sum Product Assessment1,268 cited
  • 2014The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)1,150 cited
  • 2018A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)867 cited
  • 2020A New Fuzzy MARCOS Method for Road Traffic Risk Analysis336 cited
  • 2020A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company258 cited
  • 1968Decisionmaking among Multiple-Attribute Alternatives: A Survey and Consolidated Approach223 cited
  • 2018An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making218 cited
  • 2017Decision Making in Construction Management: AHP and Expert Choice Approach134 cited
  • 2013Design of Products with Both International and Local Perspectives based on Yin-Yang Balance Theory and Swara Method130 cited
  • 2018The Use Of The Pivot Pairwise Relative Criteria Importance Assessment Method For Determining The Weights Of Criteria

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129 cited
  • 2018A Novel Approach for Evaluation of Projects Using an Interval–Valued Fuzzy Additive Ratio Assessment (ARAS) Method: A Case Study of Oil and Gas Well Drilling Projects124 cited
  • 2014MULTI-PERSON SELECTION OF THE BEST WIND TURBINE BASED ON THE MULTI-CRITERIA INTEGRATED ADDITIVE-MULTIPLICATIVE UTILITY FUNCTION117 cited
  • 2016The Framework for the Selection of Personnel Based on the SWARA and ARAS Methods Under Uncertainties117 cited
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    • 2024An integrated model for road freight transport firm selection in third-party logistics using T-spherical Fuzzy sets34 cited