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A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019

Udaykumar S. Kashid1 , Archana U. Kashid2 , Saurabh N. Mehta3 , Vineeta Basotia4

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.3 , pp.8-22, Jun-2020


Online published on Jun 30, 2020


Copyright © Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia . 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: Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia, “A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.7, Issue.3, pp.8-22, 2020.

MLA Style Citation: Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia "A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019." International Journal of Scientific Research in Mathematical and Statistical Sciences 7.3 (2020): 8-22.

APA Style Citation: Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia, (2020). A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019. International Journal of Scientific Research in Mathematical and Statistical Sciences, 7(3), 8-22.

BibTex Style Citation:
@article{Kashid_2020,
author = {Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia},
title = {A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {6 2020},
volume = {7},
Issue = {3},
month = {6},
year = {2020},
issn = {2347-2693},
pages = {8-22},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1931},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1931
TI - A New Hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced DNIT model for selection of bowlers in IPL-2019
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - Udaykumar S. Kashid, Archana U. Kashid, Saurabh N. Mehta, Vineeta Basotia
PY - 2020
DA - 2020/06/30
PB - IJCSE, Indore, INDIA
SP - 8-22
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract :
The selection of the best alternatives totally depends upon the weight of criteria. The precise values of the criteria weights always have an influence on selecting the best alternatives and obtaining the optimised solution. But in real life to get more accuracy in a weight of criteria is always an open issue. In this research work to obtain precise weight of criteria, we have proposed new hybrid D-Numbers extended Consistent Linguistic Fuzzy Preference Relation with Enhanced D-Numbers Integral Theorem (HD-CLFPR with E-DNIT) as a mathematical model by removing the major drawback of existing D-Numbers Integral Theorem (DNIT) and enhanced it as E-DNIT. Thus, we have combined three different mathematical concepts (MCDM + Fuzzy set theory + D Numbers theory) to strengthen the capability of each other?s under fuzzy situation to avoid vagueness and abandon of incomplete information data. The main objective of this paper is in three phases: In first phase, we have developed new E-DNIT formula to allocate incomplete information data to complete information data under uncertain situation. In second phase, we have developed ?HD-CLFPR with E-DNIT? mathematical model to obtain the precise weight of selected four criteria. In third phase, for the validation, the proposed model has been implemented by using ?TOPSIS? method to select the best alternatives strategy for the ranking of bowlers in Indian premier league (IPL) 2019.

Key-Words / Index Term :
Fuzzy Preference Relations; MCDM; Decision Theory; D-Numbers Theory; ?HD-CLFPR with E-DNIT

References :
[1] Bernard ROY, ?Decision-aid and decision making,? Elsevier, European Journal of Operational Research, Vol.45, pp.324-331.,1990. https://doi.org/10.1016/0377-2217(90)90196-I.
[2] Hwang, C.L., Yoon, K., ?Multiple Attribute Decision Making: Methods and Applications,? Springer-Verlag, New York, 1981. ISBN 978-3-642-48318-9.
[3] Carlsson, C., Fuller, R., ?Fuzzy multiple criteria decision making: Recent developments,? Elsevier,Fuzzy Sets and Systems, Vol.78, Issue.2, pp.139-153 ,1996.
https://doi.org/10.1016/0165-0114(95)00165-4.
[4] E. H-Viedma, F. Herrera, F. Chiclana, M. Luque, ?Some issues on consistency of fuzzy preference relations,? Elsevier, European Journal of Operational Research, Vol.154, Issue.1, pp. 98-109, 2004. https://doi.org/10.1016/S0377-2217(02)00725-7.
[5] Glenn Shafer, ?A Mathematical Theory of Evidence turns 40,? International Journal of Approximate Reasoning, Vol.79, pp.7?25, 2016. doi:10.1016/j.ijar.2016.07.009.
[6] Udaykumar S. Kashid, Archana Kashid, Saurabh Mehta, ?A Review of Mathematical Multi-Criteria Decision Models with A case study,? International Journal of Research and Analytical Reviews (IJRAR) , Vol. 6, special issue, pp. 110-124, 2019. HTTP://DOI.ONE/10.1729/JOURNAL.20927
[7] Huan-Jyh Shyurb, E. Stanley Lee, ?An extension of TOPSIS for group decision making,? Elsevier, Mathematical and Computer Modelling, Vol.45 pp. 801?813, 2007.
doi:10.1016/j.mcm.2006.03.023.
[8] T.C.Wang, Y.-H. Chen, ?Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP,? Elsevier, Information Sciences,Vol. 178, Issue.19, pp. 3755?3765, 2008. doi:10.1016/j.ins.2008.05.028
[9] Lotfi A Zadeh, ?A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination,? Journal AI Magazine archive,Vol. 7, Issue. 2, pp. 85 ? 90, 1986. DOI: https://doi.org/10.1609/aimag.v7i2.542.
[10] Yong Deng, Felix T.S. Chan. ?A new fuzzy dempster MCDM method and its application in supplier selection,? Elsevier,Expert Systems with Applications,Vol. 38, Issue.8, pp. 9854?9861, 2011. https://doi.org/10.1016/j.eswa.2011.02.017 .
[11] Deng Yong.,?D Numbers: Theory and Applications,? Journal of Information and Computational Science, Vol. 9, pp. 2421-2428, 2012.
[12] Xinyang Denga, Yong Deng, ?D-Numbers theory- a generalization of Dempster-Shafer theory,? The Scientific World Journal, Vol.1402, pp. 1-37, 2014.
http://dx.doi.org/10.1155/2014/358057.
[13] Xinyang Deng, Xi Lua, Felix T.S. Chan, Rehan Sadiq, Sankaran Mahadevan , ?Yong Deng, D-CFPR: D numbers extended consistent fuzzy preference relations,? Elsevier, Knowledge-Based Systems, Vol. 73, pp. 61?68, 2014.
[14] Y. Dong, Yinfeng Xu, Hongyi Li., ?On consistency measures of linguistic preference relations,? Elsevier, European Journal of Operational Research,? Vol. 189, Issue. 2, pp. 430-444, 2008. doi:10.1016/j.ejor.2007.06.013.
[15] Dibyojyoti Bhattacharjee, Hemanta Saikia,?On Performance Measurement of Cricketers and Selecting an Optimum Balanced Team,? Taylor & Francis Journals- International Journal of Performance Analysis in Sport,Vol.14, pp. 262-275, 2014. DOI: 10.1080/24748668.2014.11868720.
[16] Hermanus H. LEMMER, ?An analysis of players? performances in the first cricket twenty20 world cup series,? South African Journal for Research in Sport, Physical Education and Recreation, Vol. 30, Issue. 2, pp. 71-77, 2008.
DOI:10.4314/sajrs.v30i2.25990 .
[17] Udaykumar S. Kashid, Saurabh N. Mehta, Vineeta Basotia, ?A Hybrid ?AHP-TOPSIS? Mathematical Multi Criteria Decision-Making model for players performance evaluation and selection in IPL: A case study?, International Journal AU-FAIT, Vol.5, Issue.2, pp. 922-933, 2019.

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