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An Efficient Decision making in Crop cultivation using Soft Set Theory

S. Mohanambal1 , G. Jeyanthi2 , A. Pethalakshmi3

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 86-92, May-2018

Online published on May 31, 2018

Copyright © S. Mohanambal, G. Jeyanthi , A. Pethalakshmi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Mohanambal, G. Jeyanthi , A. Pethalakshmi, “An Efficient Decision making in Crop cultivation using Soft Set Theory,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.86-92, 2018.

MLA Style Citation: S. Mohanambal, G. Jeyanthi , A. Pethalakshmi "An Efficient Decision making in Crop cultivation using Soft Set Theory." International Journal of Computer Sciences and Engineering 06.04 (2018): 86-92.

APA Style Citation: S. Mohanambal, G. Jeyanthi , A. Pethalakshmi, (2018). An Efficient Decision making in Crop cultivation using Soft Set Theory. International Journal of Computer Sciences and Engineering, 06(04), 86-92.

BibTex Style Citation:
@article{Mohanambal_2018,
author = {S. Mohanambal, G. Jeyanthi , A. Pethalakshmi},
title = {An Efficient Decision making in Crop cultivation using Soft Set Theory},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {86-92},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=362},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=362
TI - An Efficient Decision making in Crop cultivation using Soft Set Theory
T2 - International Journal of Computer Sciences and Engineering
AU - S. Mohanambal, G. Jeyanthi , A. Pethalakshmi
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 86-92
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

India is associate agricultural country and majority of its population is engaged in agricultural works and farming outcomes being their own supply of financial gain. Agriculture sector faces several challenges of enhancing production with accessible natural resources. Soft set theory plays an important role to show great ability in decision making model like crop selection, crop planning, irrigation planning, water resource management etc. Even if a near optimal solution is obtained, it will have a very large impact. This can be achieved by the use of soft set techniques. This paper brings in awareness on decision making model in crop cultivation 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 various statistical measures.

Key-Words / Index Term

Soft Set, Quickreduct, K-Means, Statistical Measure

References

[1] M.I.Ali,”Another view on reduction of parameters insoftsets”, Appl.SoftComput. vol.12,no.6,pp.1814-1821,2011.
[2] S.Alkhazaleh., “Soft Multisets Theory”, Applied Mathematical Sciences, Vol.5, No.72, Pp. 3561-3573.2011.
[3] K.V.Babitha& J.J. Sunil, “Soft Set Relations and Functions”, Computers and Mathematics with Applications, Vol.60, No.7, Pp.1840- 1849,2010.
[4] D.Chen, E.C.C. Tsang, D.S.Yeung, and X.Wang, “ The parameterization reduction of soft sets and its applications,” Comput.Math.Appl., vol.49, nos. 5-6, pp.757-763, 2005.
[5] Deka Ganesh Chandra, Dutta Borah Malaya, “Role of E-Agriculture in Rural Development in Indian Context”, Emerging Trends in Networks and Computer Communication, 2011, Udaipur, 22nd-24th April 2011, pp. 320-323,2011.
[6] Dinesh K.Sharma and R.K.Jana, “ Fuzzy goal programming based genetic algorithm approach to nutrient management for rice crop planning” in ELSEVIER, vol.121, pp.224-232, 2009.
[7] Ehsan Houshyar et al., “ Sustainable and Efficient energy consumption of corn production in southwest Iran: Combination of fuzzy and DEA modeling” in ELSEVIER, vol.44, pp.672-681, 2012.
[8] F.Feng, C.Li, B.Davvaz, and M.I.Ali,”Soft sets combined with fuzzy sets and rough sets:A tentative approach,” Soft Comput., vol.14,no.9,pp.899-911,2008.
[9] T.Herawan and M. M. Deris,”A soft set approach for association rules mining,” Knowl-Based Syst., vol.24,no.1,pp.186-195,2009.
[10] Jhunjhunwala.Ashok; Umadikar, Jayalakshmi; Prashant, Suma “A New Personalized Agriculture Advisory System”, Wireless Conference (EW), Proceedings of the 2013 19th European Year: 2013.
[11] Y.Jiang,Y.Tang,Q.Chen,H.Liu, and J.Tang,”Extending fuzzy soft sets with fuzzy description logics,” Knowl.-Based Syst., vol.24,no.7,pp.1096-1107,2011.
[12] F.Karaaslanand S.Karatas, “ OR and AND-products of if p- intuitionistic fuzzy soft sets and their application in decision-making,” J. Intell, Fuzzy Syst., vol.31, no.3, pp.1427-1424, 2016.
[13] Z.Kong, L.Gao, andL.Wang, ”Comment on ’A fuzzy soft set theoretic approach to decision making problems,”J.Comput.Appl.Math.,vol.223,no.2,pp.540-542,2009.
[14] LeilaNaderloo et al., Application of ANFIS to predict crop yield based on different energy inputs” in ELSEVIER, vol.45, pp.1406-1413, march 2012.
[15] P.K. Maji, R.Biswas, and A.R.Roy, ”Soft set theory”,Comput.Math.Appl.,Vol.45,nos.4-5,pp.555-562,2003.
[16] Manav Singhal, KshitijVerma, Anupam Shukala, “Krishi Ville-Android based Solution for Indian Agriculture”, Advanced Networks and Communication Systems (ANTS) 2011,Bangalore, pp.134-139, 26th-27th November 2011.
[17] R.Paneerselvam., “ Research Methodology”, Prentice Hall of India Private Limited, New Delhi. Pp.39 & 374,2004.
[18] H. Park, “ Some Properties of Equivalence Soft Set Relations”,Computers and Mathematics with Applications, Vol.63,Pp.1079- 1088,2012.
[19] A.Pethalakshmi, “ Soft Set Theory – A Review”,National Conference on Mobile technologies & Big data Analytics, 2018.
[20] SarikaA.Hajare et al., “Fuzzy based approach for weather advisory system” in IOSR Journal of Computer engineering(IOSR- JCE),Vol.17,No.3,PP 90-95, 2015.
[21] N.Sundaravalliand Dr.A.Geetha, “ A Study and Survey on rain fall prediction and production of crops using Data mining techniques” in International Research Journal of Engineering and Technology in vol.3, No.12, December 2016.
[22] Tajunisha and Saravanan,“Performance analysis of k-means with different initialization methods for high dimensional datasets, ”International Journal of Artificial Intelligence & Applications (IJAIA), vol. 1, no.4, pp.44-52,Oct. 2010.
[23] K.Thangavel, P. Jaganathan, A. Pethalakshmi, M.Karnan,“Effective Classification with Improved Quick Reduct For Medical Database Using Rough System”, BIME Journal, Volume (05), Issue (1), Dec., 2005.
[24] B.K.Tripathy, R.K.Mohanty, and T.R.Sooraj, “On Intuitionistic fuzzy soft sets and their application in decision-making,” in Proc. Int.Conf. Signal, Netw., Comput., Syst., India, , pp. 67-73, 2016.
[25] J. Q.Wang, X.-E. Li, and X.-H. Chen, “Hesistant fuzzy soft sets with application in Multicriteria groupdecision making problems, “ Sci. World J., vol.2015, Art.no.806983, 2015.
[26] Z.Xiao, “Exclusive Disjunctive Soft Sets”,Computers& Mathematics with Applications, Vol.59, pp.2128-2137,2012.
[27] W.Xu,Z.Xiao, X.Dang, D.Yang, and X.Yang,”Financial ratio selection for business failure prediction using soft set theory,”Knowl-Based Syst., vol.63,pp.59 67,jun.2014.
[28] Yanbo Huang et al., “Development of Soft computing and applications in agricultural and biological engineering”, in ELSEVIER, vol.71, pp.107-127, 2010.
[29] L.A.Zadeh, Fuzzy sets, Inform.control 8(1965)338-353.