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Reseach Article

A Best Technique of Weight Lose using Fuzzy Soft Systems

by Muhammad Naveed Jafar, Ali Hamza, Sara Farooq
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 16
Year of Publication: 2020
Authors: Muhammad Naveed Jafar, Ali Hamza, Sara Farooq
10.5120/ijca2020920129

Muhammad Naveed Jafar, Ali Hamza, Sara Farooq . A Best Technique of Weight Lose using Fuzzy Soft Systems. International Journal of Computer Applications. 176, 16 ( Apr 2020), 42-47. DOI=10.5120/ijca2020920129

@article{ 10.5120/ijca2020920129,
author = { Muhammad Naveed Jafar, Ali Hamza, Sara Farooq },
title = { A Best Technique of Weight Lose using Fuzzy Soft Systems },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 16 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number16/31289-2020920129/ },
doi = { 10.5120/ijca2020920129 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:42:44.899034+05:30
%A Muhammad Naveed Jafar
%A Ali Hamza
%A Sara Farooq
%T A Best Technique of Weight Lose using Fuzzy Soft Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 16
%P 42-47
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Soft set become very handy tool to solve decision making problems of daily life and Fuzzy Hyper soft set is the generalized foam of soft set. In this current approach, a systematic, logical and consistent use of Fuzzy hyper soft set theory, which include from estimate of ideal weight to time required for this transformation.

References
  1. G. R. Jahanshahloo, F.H.Lptfi, and M. Izadi Khan.(2006).’’An algorithmic method to ext4end TOPSIS for decision-making problems with interval data,’’ Applied Mathematics and Computation, Vol.175, pp. 1375-1384.
  2. G. W. Wei. (2011). ‘’FIOWHM operator and its application to multiple attribute group decision making,’’ Expert System with Applications, vol. 38, no. 4, pp. 2984-2989.
  3. G. W. Wei, X. F. Zhao, R. Lin and H. J. Wang. (2010). ‘’Generalized triangular fuzzy correlated averaging operator and their application to multiple attribute decision making,’’ Applied Mathematical Modelling, vol. 36, no. 7, pp. 2975-2982.
  4. Jafar.N.M, Faizullah, Shabbir.S, Alvi.F.M.S, Shaheen.L (2020), Intuitionistic Fuzzy Soft Matrices, Compliments and Their Relations with Comprehensive Study of Medical Diagnosis, International Journal of Latest Engineering Research and Applications, 5(1): 23-30.
  5. Jafar.N.M, Khan.R.M, Sultan.H, Ahmad.N (2020), Interval Valued Fuzzy Soft Sets and Algorithm of IVFSS Applied to the Risk Analysis of Prostate Cancer, International Journal of Computer Applications, 177(38): 18-26.
  6. Jafar.N.M, Muniba.K, Saeed.A, Abbas.S,Bibi.I (2019). Applications of Sanchez, Approach in Medical Diagnosis using Trapezoidal Fuzzy Numbers. International Journal of Latest Engineering, Research and its Applications .4 (9): 5157.
  7. Jafar.N.M, Saeed.A, Waheed.M, Shafiq.A (2020), A Comprehensive Study of Intuitionistic Fuzzy Soft Matrices and its Applications in Selection of Laptop by Using Score Function, International Journal of Computer Applications, 177(38): 8-17.
  8. Jafar.N.M, Saqlain.M, Saeed.M, Abbas.Q (2020), Application of Soft-Set Relations and Soft Matrices in Medical Diagnosis using Sanchez’s Approach , International Journal of Computer Applications, 177(32): 7-11.
  9. Molodtsov D. Soft set theory-first result. Computers and Mathematics with Applications. 1999; 37:19-31.
  10. Maji PK, Biswas R, Roy AR. Fuzzy soft set. The Journal of Fuzzy Mathematics. 2001; 9(3):677-692.
  11. Pawlak Z. Rough sets. Int. J. Inf. Comp. Sci. 1982; 11:341356.
  12. Pawlak Z. Rough classification, International Journal of Man Machine Studies 20(5), 469-483, 1984.
  13. Q. W. Cao and J. Wu. (2011). ‘’ The Extended COWG operators and their application to multiple attribute group decision making problems and interval numbers,’’ Applied Mathematics Modelling, vol. 35, no. 5, pp. 2075-2086.
  14. Riaz.M, Saeed.M, Saqlain.M, Jafar.N (2019), Impact of Water Hardness in Instinctive Laundry System Based on Fuzzy Logic Controller, Punjab University Journal of Mathematics, 51(4):73-84.
  15. Smarandache, F. A unifying field in logics neutrosophy: Neutrosophic probability, set and logic. American Research Press, Rehoboth. 1998.
  16. Smarandache F., Definition of Neutrosophic logic-a generalization of the Intuitionistic fuzzy logic, EUSFLAT Conf., 141-146, 2003.
  17. Smarandache F. Neutrosophy and Neutrosophic logic. First International Conference onNeutrosophic Logic, Set, Probability and Statistics. University of New Mexico, Gallup, USA; 2002.
  18. Saqlain.M, Jafar.N, Hamid.R,Shahzad.A. (2019), Prediction of Cricket World Cup 2019 by TOPSIS Technique of MCDM-A Mathematical Analysis, International Journal of Scientific & Engineering Research, 10(2): 789-792.
  19. Saqlain. M., Jafar. N. and Riffat. A., (2019). Smart phone selection by consumers’ in Pakistan: FMCGDM fuzzy multiple criteria group decision making approach, Gomal University Journal of Research, 34(1): 27-31.
  20. Saqlain.M, Naz.K, Ghaffar.K, Jafar.N.M (2019), Fuzzy Logic Controller: The Impact of Water pH on Detergents, Scientific Inquiry of Review 3(3):16–29.
  21. Saqlain M, Saeed M, Ahmad M.R, SmarandacheF, (2019), Generalization of TOPSIS for Neutrosophic Hypersoft set using Accuracy Function and its Application, Neutrosophic Sets and Systems (NSS), 27: 131-137.
  22. Saeed, M., Zulqarnain, M. and Dayan, F. (2018). TOPSIS analysis for the prediction of diabetes based on general characteristics of humans. Int. J. of Pharm. Sci. and Research. 9: 2932-2939.
  23. Y. C. Tang and C. T. Chang. (2012). ‘’Multi-criteria decision-making based on goal programing and fuzzy analytic hierarchy process: an application to capital budgeting problem,’’ Knowledge-Based System, vol. 26, pp. 288-293.
  24. Zadeh L.A..Fuzzy sets as a basis for a theory of possibility, Fuzzy sets and system1 (1), 3-28, 1978.
  25. Zadeh L.A. Fuzzy sets. Inf. Control. 1965; 8:338-353.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Soft Systems