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Fuzzy Decision Making on the Impacts of Corporate Environmental Responsibility and Citizen Science Approaches Towards Green Globe

Fuzzy Decision Making on the Impacts of Corporate Environmental Responsibility and Citizen Science Approaches Towards Green Globe
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Author(s): Nivetha Martin (Arul Anandar College, India), S. Jegan Karuppiah (Arul Anandar College, India)and Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M'Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
Copyright: 2022
Pages: 17
Source title: Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch009

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Abstract

A green environment is one of the sustainability goals, and all nations are striving hard to make the environment free from pollution. The overwhelming corporate sectors should devise strategies towards promoting and preserving the environment from getting degraded by manufacturing activities. To control the environmental degradation, the industries should devise strategies to attain the goal of the green globe through the sub-goals such as livelihood sustainability, community progression, energy conservation, consumer compatibility, and resources revamp. This chapter explores the possible ways of handling the environmental mishaps, and it throws light on the possible contributions of corporate environmental responsibility and citizen science that involves the participatory approaches of the citizens as a whole. To make a decision on 16 proposed strategies, the hybrid decision-making method on multi goals cum strategies is proposed, and the integrated approach of FUCOM (full consistency method fuzzy additive ration assessment) and fuzzy ARAS (fuzzy additive ratio assessment) is applied.

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