A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.

The development of biodegradable polymers for both industrial and commercial uses is crucial nowadays due to the detrimental environmental effects of synthetic plastics. For a variety of uses, researchers have created numerous starch-based composites. The current study examines bioplastics made from...

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Main Authors: Kang, Daekook, Jaisankar, Ramasamy, Murugesan, Veeramuthu, Suvitha, Krishnan, Narayanamoorthy, Samayan, Omar, Abdullah Hisam, Arshad, Noreen Izza, Ahmadian, Ali
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Published: Academic Press 2023
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Online Access:http://eprints.utm.my/106623/
http://dx.doi.org/10.1016/j.jenvman.2023.117967
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.1066232024-07-09T08:06:49Z http://eprints.utm.my/106623/ A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method. Kang, Daekook Jaisankar, Ramasamy Murugesan, Veeramuthu Suvitha, Krishnan Narayanamoorthy, Samayan Omar, Abdullah Hisam Arshad, Noreen Izza Ahmadian, Ali QA75 Electronic computers. Computer science The development of biodegradable polymers for both industrial and commercial uses is crucial nowadays due to the detrimental environmental effects of synthetic plastics. For a variety of uses, researchers have created numerous starch-based composites. The current study examines bioplastics made from maize and rice starch for packaging purposes. Several types of bioplastic samples are created using various ratios of gelatin, glycerol, citric acid, maize starch, and rice starch. People have discovered the value of plastics all around the world. It can be used for packaging, trash bags, liquid containers, throwaway quick service restaurant products, and other things. Regarding the negative aspect of plastics, their dumping after durability poses a serious risk to both people and wildlife. This prompted researchers to seek alternative natural resources that may be used to create flexible polymers that are recyclable, eco-friendly, and sustainable. It has been discovered that tuber and grain starches can be used to produce flexible biopolymers. The decision to choose the best among these choices is an MCDM problem because the carbohydrates from these suppliers have varying qualities. The Probabilistic Hesitant Fuzzy Set (PHFS)-based COmplex PRoportional ASsessment (COPRAS) method for solving uncertainty problems is utilized in this research study. To get the objective weights of the criteria in this case, we used the Critic method of weight determination. An example case of selecting the optimal hydrolyzes for biodegradable dynamic plastic synthesis was chosen to represent the applicability of the suggested approach. The findings demonstrate the feasibility of thermoplastic starches derived from rice and corn for packaging applications. Academic Press 2023-08-15 Article PeerReviewed Kang, Daekook and Jaisankar, Ramasamy and Murugesan, Veeramuthu and Suvitha, Krishnan and Narayanamoorthy, Samayan and Omar, Abdullah Hisam and Arshad, Noreen Izza and Ahmadian, Ali (2023) A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method. Journal of Environmental Management, 340 (117967). NA-NA. ISSN 0301-4797 http://dx.doi.org/10.1016/j.jenvman.2023.117967 DOI:10.1016/j.jenvman.2023.117967
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Kang, Daekook
Jaisankar, Ramasamy
Murugesan, Veeramuthu
Suvitha, Krishnan
Narayanamoorthy, Samayan
Omar, Abdullah Hisam
Arshad, Noreen Izza
Ahmadian, Ali
A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
description The development of biodegradable polymers for both industrial and commercial uses is crucial nowadays due to the detrimental environmental effects of synthetic plastics. For a variety of uses, researchers have created numerous starch-based composites. The current study examines bioplastics made from maize and rice starch for packaging purposes. Several types of bioplastic samples are created using various ratios of gelatin, glycerol, citric acid, maize starch, and rice starch. People have discovered the value of plastics all around the world. It can be used for packaging, trash bags, liquid containers, throwaway quick service restaurant products, and other things. Regarding the negative aspect of plastics, their dumping after durability poses a serious risk to both people and wildlife. This prompted researchers to seek alternative natural resources that may be used to create flexible polymers that are recyclable, eco-friendly, and sustainable. It has been discovered that tuber and grain starches can be used to produce flexible biopolymers. The decision to choose the best among these choices is an MCDM problem because the carbohydrates from these suppliers have varying qualities. The Probabilistic Hesitant Fuzzy Set (PHFS)-based COmplex PRoportional ASsessment (COPRAS) method for solving uncertainty problems is utilized in this research study. To get the objective weights of the criteria in this case, we used the Critic method of weight determination. An example case of selecting the optimal hydrolyzes for biodegradable dynamic plastic synthesis was chosen to represent the applicability of the suggested approach. The findings demonstrate the feasibility of thermoplastic starches derived from rice and corn for packaging applications.
format Article
author Kang, Daekook
Jaisankar, Ramasamy
Murugesan, Veeramuthu
Suvitha, Krishnan
Narayanamoorthy, Samayan
Omar, Abdullah Hisam
Arshad, Noreen Izza
Ahmadian, Ali
author_facet Kang, Daekook
Jaisankar, Ramasamy
Murugesan, Veeramuthu
Suvitha, Krishnan
Narayanamoorthy, Samayan
Omar, Abdullah Hisam
Arshad, Noreen Izza
Ahmadian, Ali
author_sort Kang, Daekook
title A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
title_short A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
title_full A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
title_fullStr A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
title_full_unstemmed A novel MCDM approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based COPRAS method.
title_sort novel mcdm approach to selecting a biodegradable dynamic plastic product: a probabilistic hesitant fuzzy set-based copras method.
publisher Academic Press
publishDate 2023
url http://eprints.utm.my/106623/
http://dx.doi.org/10.1016/j.jenvman.2023.117967
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