• S.Mohanambal
• Dr.A.Pethalakshmi
• S.JAYALAKSHMI.

Soft sets have been used extensively for decision making problems. Research on soft sets based decision making has received much attention in recent years. Decision making is very sensitive in today’s fast moving world. It takes significant role in the field of selection of best fit in different alternatives. Different parameters and their values help decision makers to take right decision at right time. This paper brings in awareness on decision making model in crop selection by using soft set theory that helps to identify the crop to be cultivated by a farmer which suits best of his expectations by the questionnaire and it can be optimized by Relative closeness Method. In this paper we propose the Weight Aggregation Analysis algorithm in decision making for selecting a suitable crop to be cultivated depending on the available features using Relative closeness Method.

Soft Set, Quick reduct, K-Means, Weight Aggregation Analysis Algorithm, Relative Closeness Method .

"A Novel approach of Crop selection using Soft Set Theory ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.264-269, February-2019, Available :http://www.jetir.org/papers/JETIRAB06047.pdf

"A Novel approach of Crop selection using Soft Set Theory ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp264-269, February-2019, Available at : http://www.jetir.org/papers/JETIRAB06047.pdf