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Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions

Bhavya Pardasani1

  1. MANIT, Bhopal, India.

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 910-913, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.910913

Online published on Feb 28, 2019

Copyright © Bhavya Pardasani . 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: Bhavya Pardasani, “Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.910-913, 2019.

MLA Style Citation: Bhavya Pardasani "Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions." International Journal of Computer Sciences and Engineering 7.2 (2019): 910-913.

APA Style Citation: Bhavya Pardasani, (2019). Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions. International Journal of Computer Sciences and Engineering, 7(2), 910-913.

BibTex Style Citation:
@article{Pardasani_2019,
author = {Bhavya Pardasani},
title = {Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {910-913},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3769},
doi = {https://doi.org/10.26438/ijcse/v7i2.910913}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.910913}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3769
TI - Doubly Soft Set Model with Single Fuzzy Parameter at Second Level of Hierarchy for Making Decisions
T2 - International Journal of Computer Sciences and Engineering
AU - Bhavya Pardasani
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 910-913
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

We come across the challenge of uncertainty in making decisions in various real life problems. The intelligence, analytical ability, reasoning and available information is used by us to make these decisions. The imprecise nature of the available information is the main source of uncertainty which makes our task more challenging for making decisions. The available mathematical tools like fuzzy sets, rough sets, vague sets and soft sets etc. which are in use have their own limitations with regard to different types of uncertainty. Thus depending on the kinds of uncertainty involved in a decision problem, it is necessary to explore hybrid approaches to address these issues of uncertainty in making decisions in a real environment. In this paper a doubly soft set with a single fuzzy parameter at the second level of hierarchy is proposed to address the combination of two kinds of uncertainty in a decision problem. The doubly soft set takes care of the relationship of elements of the set with the two levels of parameters involved and fuzzy set takes care of relationships among the elements of the parameters at the second level of hierarchy. The proposed model is illustrated with the help of an example of a decision problem

Key-Words / Index Term

Fuzzy set, Soft set, Multisoftset, Decision making

References

[1] L.A. Zadeh, “Fuzzy set,” Information and Control., vol. 8, 1965, pp. 338–353.
[2] Pawlak, Zdzisław. "Rough sets." International Journal of Computer & Information Sciences 11(5) ,1982, pp 341-356.
[3] W.L. Gau and J.B Daniel, “Vague sets”, IEEE Transactions on Systems, Man, and Cybernetics 23 , 1993 ,pp 610–614.
[4] D. Molodtsov, “Soft set theory-first results,” Computers and Mathematics with Applications, 37, 1999, pp. 19–31.
[5] P.K. Maji, R. Biswas, and A.R. Roy, “An Application of Soft Sets in A Decision Making Problem”, Computers and Mathematics with Applications, 44, 2002, pp. 1077-1083.
[6] Bhavya Pardasani, Multi Softset for Decision Making, International Journal of Science and Research, 7 ( 11), 2018, pp 55-56.
[7] Amita Jain and K. R. Pardasani, Soft fuzzy model for mining amino acid associations in peptide sequences of Mycobacterium tuberculosis complex , Current Science , 110(4), 2016, p603-618
[8] A Jain and KR Pardasani, Fuzzy soft set model for mining amino acid associations in peptide sequences of Mycobacterium tuberculosis complex (MTBC) , Journal of Intelligent & Fuzzy Systems 31 (1), 2016, pp 259-273
[9] A Gour and KR Pardasani , Statistical and Soft Fuzzy Set Based Analysis of Amino Acid Association Patterns in Peptide Sequence of Swine Influenza Virus , Advanced Science, Engineering and Medicine 10 (2), 2018, pp 137-144