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Multi-criteria Rating Using Fuzzy Ranking for Improving Soil Recommendation System

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ICT Based Innovations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 653))

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Abstract

The fuzzy methodology in light of Multi-criteria Decision-Making (MCDM) system for selecting the ideal answer for enhancing creation in the field of agribusiness by selecting the ideal soil for a specific crop with a set of linguistic variables of the well-known AHP methods by the ratings of each dimension of fuzzy matrix and the overall rating of soil. The majority of the crops need very much depleted; salt-free soils and lean toward very much drained medium-textured soil with ideal physical properties; and impartial pH as soil has ideal physical, chemical, and natural properties; therefore soil suitability standard issues appear to be a nonappearance of capacity and assessment from every angle. Personalization advancements and recommenders framework help to beat the issues by giving customized proposals for farmers according to the suitability of data. The present investigation is utilized to calculate normalized weight using defuzzified value or crisp value and to create a rating of crops for the recommendation system.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, 131305, India

    Babita Chaudhary & Sandeep Dahiya

Authors
  1. Babita Chaudhary
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  2. Sandeep Dahiya
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Correspondence to Babita Chaudhary .

Editor information

Editors and Affiliations

  1. USMS, GGSIP University, New Delhi, Delhi, India

    A. K. Saini

  2. Indian Institute of Business Management, Patna, Bihar, India

    A. K. Nayak

  3. Institute of Life Long Learning (ILLL), New Delhi, Delhi, India

    Ram Krishna Vyas

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Chaudhary, B., Dahiya, S. (2018). Multi-criteria Rating Using Fuzzy Ranking for Improving Soil Recommendation System. In: Saini, A., Nayak, A., Vyas, R. (eds) ICT Based Innovations. Advances in Intelligent Systems and Computing, vol 653. Springer, Singapore. https://doi.org/10.1007/978-981-10-6602-3_5

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  • DOI: https://doi.org/10.1007/978-981-10-6602-3_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6601-6

  • Online ISBN: 978-981-10-6602-3

  • eBook Packages: EngineeringEngineering (R0)

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