K
Kajal Chatterjee
Researcher at National Institute of Technology, Durgapur
Publications - 27
Citations - 952
Kajal Chatterjee is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Multiple-criteria decision analysis & Supply chain. The author has an hindex of 12, co-authored 25 publications receiving 699 citations. Previous affiliations of Kajal Chatterjee include Institute of Development Studies, Kolkata.
Papers
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Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry
TL;DR: The paper examines GSCM based on fifteen criteria expressed in five dimensions and proposes a multi-criteria evaluation framework for selecting suitable green suppliers and shows that the proposed method significantly increases the objectivity of supplier assessment in a subjective environment.
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Assessment of third-party logistics provider using multi-criteria decision-making approach based on interval rough numbers
TL;DR: A new integrated interval rough number (IRN) approach based on the Best Worst Method (BWM) and Weighted Aggregated Sum Product Assessment (WASPAS) method along Multi-Attributive Border Approximation area Comparison (MABAC) to evaluate 3PL providers is presented.
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A Hybrid MCDM Technique for Risk Management in Construction Projects
Kajal Chatterjee,Edmundas Kazimieras Zavadskas,Jolanta Tamošaitienė,Krishnendu Adhikary,Samarjit Kar +4 more
TL;DR: The analytical network process (ANP) methodology in the D numbers domain is extended to handle three types of ambiguous information’s, viz. complete, uncertain, and incomplete, and assesses the weight of risk criteria.
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Evaluation and selection of medical tourism sites: A rough analytic hierarchy process based multi-attributive border approximation area comparison approach
TL;DR: A novel multiple criteria decision making (MCDM) methodology is presented for assessing and prioritizing medical tourism destinations in uncertain environment by integrating rough number based AHP (Analytic Hierarchy Process) and rough numberbased MABAC (Multi-Attributive Border Approximation area Comparison).
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A multi-criteria decision making for renewable energy selection using Z-numbers in uncertain environment
Kajal Chatterjee,Samarjit Kar +1 more
TL;DR: In the proposed COPRAS-Z methodology, Z-number model fuzzy numbers with reliability degree is used to represents imprecise judgment of decision makers’ in evaluating the weights of criteria and selection of renewable energy alternatives.