An Expert Opinion-Based Soft Computing Framework for Comparing Nanotechnologies used in Agriculture

Sanjib Biswas; Sandeep Bhattacharjee; Biplab Biswas; Kaushik Mitra; Nibir Khawas

doi:10.31181/sor4156

Authors

Sanjib Biswas Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India Author https://orcid.org/0000-0002-9243-2403
Sandeep Bhattacharjee Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India Author https://orcid.org/0000-0002-6686-3947
Biplab Biswas Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India Author https://orcid.org/0000-0001-5869-4998
Kaushik Mitra Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India Author https://orcid.org/0000-0002-3507-5999
Nibir Khawas Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India Author https://orcid.org/0000-0003-3086-8276

DOI:

https://doi.org/10.31181/sor4156

Keywords:

Sustainable Agriculture, Interval-valued p, q – Quasirung Orthopair Fuzzy Number, CIMAS, WISP

Abstract

Nanotechnology (NT) has revolutionized agriculture through precision farming, environmental protection, enhanced nutrient delivery and crop production, and effective pesticide control. The purpose of the present research is twofold. First, it aims to develop a novel soft computing model for multi-criteria decision analysis (MCDA) by proposing an Interval-valued p, q–Quasirung Orthopair Fuzzy Number (p, q–IVQROFN)-based hybrid MCDA framework. The CIMAS (Criteria Importance Assessment) method is employed to determine the weights of the criteria, while the WISP method ranks the alternatives. This paper introduces a modification to the WISP method by aggregating four distinct utility degrees using the Heron Mean. The second objective is to apply the proposed framework to compare leading NTs used in agriculture. An expert group decision-making approach is developed to evaluate eight NTs, guided by the theoretical frameworks of TOE (Technology–Organization–Environment) and TRI (Technology Readiness Index). Alternatives are ranked using experts’ ratings within the proposed framework, followed by a risk assessment using the Fine–Kinney framework (FKF) to identify potential vulnerabilities. The NTs are compared based on both performance and risk profiles. The results indicate that nano-sensors (NT5), nano-fungicides (NT3), nano-fertilizers (NT2), nano-clays (NT6), and nano-herbicides (NT4) rank as the top nanotechnologies for agricultural applications. The reliability of the proposed model is confirmed through comparisons with other MCDA methods and sensitivity analysis. Overall, this paper presents a robust and practical methodology for sustainable agricultural planning.

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Author Biography

Sanjib Biswas, Amity Business School, Amity University Kolkata, Major Arterial Road, AA II, Newtown, West Bengal 700135, India

Sanjib Biswas, Ph.D. (NIT, Durgapur), teaches Decision Sciences & Operations Management at Amity University Kolkata. He has two decades of experience of working in Industry and Academics. He has published/presented 40+ papers in Scopus/ SCI indexed journals such as Information Sciences, Annals of Operations Research, FUSME and others. He is a regular reviewer of 20+ reputed Scopus/SCI indexed journals like Applied Soft Computing, Technology Forecasting and Social Change, Engineering Applications with Artificial Intelligence, DMAME among others and editorial board member of eminent journals including Reports in Mechanical Engineering, Decision Making Advances, Theoretical and Applied Computational Intelligence and others. His research interests include SCM, MCDM, Soft Computing, Technology Management and Sustainability.

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