2022
DOI: 10.1007/s10668-022-02631-w
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A closed-loop supply chain model with carbon emission and pricing decisions under an intuitionistic fuzzy environment

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Cited by 5 publications
(3 citation statements)
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“…In the context of supply chains, issues such as environment, ethics, diversity, labour and human rights, fair trade, health and safety, and corporate philanthropy have been explored in different types of chains (Hashmi & Akram, 2021;Karthick & Uthayakumar, 2022;Malekinejad et al, 2022). Within the supply chains, initiatives are more often undertaken aimed at caring for the environment or society (Carter & Jennings, 2004;Ciliberti et al, 2008;Maignan et al, 2002;Yuen et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…In the context of supply chains, issues such as environment, ethics, diversity, labour and human rights, fair trade, health and safety, and corporate philanthropy have been explored in different types of chains (Hashmi & Akram, 2021;Karthick & Uthayakumar, 2022;Malekinejad et al, 2022). Within the supply chains, initiatives are more often undertaken aimed at caring for the environment or society (Carter & Jennings, 2004;Ciliberti et al, 2008;Maignan et al, 2002;Yuen et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The authors obtained defuzzified values using only the membership function and only employed weights to sides of the membership function. Karthick and Uthayakumar [21] evaluated a closed-loop supply chain model with intuitionistic fuzzy parameters. The model was used to investigate the delivery process of an item from a manufacturer to a retailer.…”
Section: Introductionmentioning
confidence: 99%
“…The authors used the difference between the membership function and non-membership function as the weights of the defuzzification methods. In the aforementioned studies [8][9][10][11][12][13][14][15][16][17]21,22], scientists preferred using weighted-averaging-based defuzzification methods. In actual applications, the authors chose different weights, such as membership values, non-membership values, hesitancy values, accuracy values, the difference between sides of (α − β) cuts, and possibility values.…”
Section: Introductionmentioning
confidence: 99%