CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

An Application of Fuzzy Concept to Agricultural Farm for Decision Making

by A. Baral
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 21
Year of Publication: 2013
Authors: A. Baral
10.5120/12610-9305

A. Baral . An Application of Fuzzy Concept to Agricultural Farm for Decision Making. International Journal of Computer Applications. 71, 21 ( June 2013), 18-23. DOI=10.5120/12610-9305

@article{ 10.5120/12610-9305,
author = { A. Baral },
title = { An Application of Fuzzy Concept to Agricultural Farm for Decision Making },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 21 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number21/12610-9305/ },
doi = { 10.5120/12610-9305 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:36:14.921896+05:30
%A A. Baral
%T An Application of Fuzzy Concept to Agricultural Farm for Decision Making
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 21
%P 18-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper some concept of fuzzy set have discussed and one fuzzy model have applied on agricultural farm for optimal allocation of different crops by considering maximization of net benefit, production and utilization of labour . Crisp values of the objective functions obtained from selected non-dominated solutions are converted into triangular fuzzy numbers and ranking of those fuzzy numbers are done to make a decision.

References
  1. Boender, C. G. E. Graan, J. G. de and Lootsman, F. A. 1989 . A multi-criteria decision analysis with fuzzy pair wise comparisons. Fuzzy sets and Systems, 29, 133-143.
  2. Buckley, J. J. (1985). Ranking alternatives using fuzzy numbers. Fuzzy Sets and Systems, 15, 21-31.
  3. Bass, S. J. and Kwakernaak, H. 1977. Rating and ranking of multi-aspect alternatives using fuzzy sets. Automatica, 13, 47-58.
  4. Chen, C. T. 2001. A fuzzy approach to select the location of the distribution centre. Fuzzy sets and systems, 118, 65-73.
  5. Chu, Ta-Chung, (2002). A fuzzy number Interval Arithmetic based fuzzy MCDM Algorithm. International Journal of Fuzzy System, 4, 867-872.
  6. Dubois, D. and Prade, H. 1980 . Fuzzy sets and systems, Theory and Application, Academic Press, New York,
  7. Detyniecki, M. and Yager, R. R. 2001. Ranking fuzzy numbers using alpha weighted valuation. International Journal of Uncertainty, Fuzziness and Knowledge-Based System, 8, 573-592
  8. Fuller, R. and Carlsson, C. 1996. Fuzzy multiple criteria decision making recent development, Fuzzy sets and system, 78 , 139-153.
  9. Geldermann, J. , Spengler, T. and Otto, R. 2000. Fuzzy outranking for environmental assessment. Case study : iron and steel making industry," Fuzzy sets and system, 115, 45-65.
  10. Hoda, D. S. and Kapoor, J. N. 2001. Crop Area Distributions for optimal yield" OPSEARCH, 38, 407-418.
  11. Laarhoven, P. J. M. and Pedrycz, W. 1983. A fuzzy extension of Satty's priority theory, Fyzzy Sets and Systems, 11, 229-241.
  12. Tong, R. M. and Bonissone, P. P. 1980, A linguistic approach to decision making with fuzzy sets, IEEE Trans. Systems man cybernet, SMC. 10 , 716-723.
  13. Wang, Reay-chan and Liang, Tien-fu, 2004. Application of fuzzy multi-objective linear programming to aggregate production planning, Computers and Industrial Engineering, 46, 17-41
  14. Zhu, Q. and Lee, E. S. 1992. Comparison and ranking of fuzzy numbers, Fuzzy Regression Analysis," Omnitech Press, Warsaw. 132-145
Index Terms

Computer Science
Information Sciences

Keywords

Crisp and Fuzzy concept Triangular fuzzy number ?-cut Optimism index Fuzzy WPM (Weighted Product Method) MCDM(Multi-criteria Decision Making)

Powered by PhDFocusTM