Application of TOPSIS method in selection of design attributes of decision support system for fertilizer recommendation-Reference-Cited by-同舟云学术

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Application of TOPSIS method in selection of design attributes of decision support system for fertilizer recommendation

Published:2020-08-11 Issue:7 Volume:41 Page:1689-1704
ISSN:0252-2667
Container-title:Journal of Information and Optimization Sciences
language:en
Short-container-title:Journal of Information and Optimization Sciences

Author:

Motia Sanjay¹,Reddy S. R. N.²

Affiliation:

1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Dwarka New Delhi 110078 India

2. Department of Computer Science & Engineering, Indira Gandhi Delhi Technical University for Women, Kashmere Gate, New Delhi 110006 India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02522667.2020.1799513

Reference62 articles.

1. Integrated Nutrient Management for Sustainable Crop Production and Improving Soil Health

2. Maintaining soil fertility and health for sustainable pastures

3. Assessing the implementation of Ontario's Nutrient Management decision support system

4. RAEDSS: An integrated decision support system for regional agricultural economy in China

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1. A Comprehensive Approach to Biodiesel Blend Selection Using GRA-TOPSIS: A Case Study of Waste Cooking Oils in Egypt;Sustainability;2024-07-17

2. DECISION-MAKING FOR EFFICIENCY AND INNOVATION IN THE RICE PRODUCTION CHAIN;Revista de Estudos Interdisciplinares;2024-01-03

3. Prioritizing Strategic Objectives and Projects in Higher Education Institutions: A New Hybrid Fuzzy MEREC-G-TOPSIS Approach;IEEE Access;2024

4. Smart City and Intelligent Upgrading of Urban Transportation System: based on Sustainable Investment Strategy;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16

5. Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm;Journal of Function Spaces;2022-09-12

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