CFP last date
22 April 2024
Reseach Article

A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital

by M. Saeed, Sahrish Mahmood, Hina Taufeeq
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 16
Year of Publication: 2018
Authors: M. Saeed, Sahrish Mahmood, Hina Taufeeq
10.5120/ijca2018917827

M. Saeed, Sahrish Mahmood, Hina Taufeeq . A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital. International Journal of Computer Applications. 181, 16 ( Sep 2018), 42-48. DOI=10.5120/ijca2018917827

@article{ 10.5120/ijca2018917827,
author = { M. Saeed, Sahrish Mahmood, Hina Taufeeq },
title = { A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2018 },
volume = { 181 },
number = { 16 },
month = { Sep },
year = { 2018 },
issn = { 0975-8887 },
pages = { 42-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number16/29909-2018917827/ },
doi = { 10.5120/ijca2018917827 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:06:11.451213+05:30
%A M. Saeed
%A Sahrish Mahmood
%A Hina Taufeeq
%T A Consistent Hybrid of Analytical Hierarchy Process (AHP) and Graph Theory Matrix Approach (GTMA) with Application to Selection of PET scan Machine Problem for Cancer Hospital
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 16
%P 42-48
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The principle purpose of this paper is Hybridization of Analytical Hierarchy Process (AHP) with Graph Theory Matrix Approach (GTMA). In this article Hybridization of AHP is being done in the matter of basic leadership. The proposed methodology is considered for a specific Cancer hospital that was required to choose Pet Scan Machine for Cancer patients. There are such a significant number of PET scan machines accessible in market and the choice to choose a correct machine more often than not includes various criteria. In this way with a specific end goal to survive vulnerabilities, hybridization of AHP-GTMA has been made. Since AHP has been an outstanding technique for mining the decision maker psyche and GTMA approach is utilized for data mining. Both of these mining forms are hybridized so as to choose the machine with best highlights. Furthermore theoretical consistency is also presented. Finally the results are verified with Soft Expert Set and stability of hybrid method is checked by Satty’s Scale.

References
  1. L. Rew, (1988). ”Intuition in Decision-Making”, Journal of Nursing Scholarship. 20(3): 150-154.
  2. H. R Weistroffer, C.H.Smith and S.C.Narula, (2005). ”Multiple critera decision support software” Ch 24 in Multiple Critera Decision Analysis: State of the Art Surveys Series, Springer: New York.
  3. P. McGinley, (2012). ”Decision analysis software survey”, OR/MS Today, 39.
  4. T. L. Saaty, Peniwati and Kirti, (2008). ”Group Decision Making: Drawing out and Reconciling Differences”, Pittsburgh, Pennsylvania: RWS Publications.
  5. D. S Munasinghe, G.P.T.S Hemakumara and P.K.S Mahanama, (2017). “GIS application for finding the best residential lands in Ratnapura municipal council area of Sirilanka”, International Reseacrh Journal of Earth Sciences, Vol 5(10).
  6. B. O. Saracoglu, (2013). “Selecting industrial investment locations in master plans of countries”, European Journal of Industrial Engineering. Inderscience Enterprises Ltd. 7(4): 416-441.
  7. H. Madurika and G. Hemakumara, (2015). “Gis Based Analysis For Suitability Location Finding In The Residential Development Areas Of Greater Matara Region”, International Journal of Scientific and Technology Research 4: 96-105
  8. K. Govindan, M. Kaliyan, D. Kannan et al, (2014). “Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process”. V(147), 555-568
  9. M. R. Fathi, H. Safari and A. Faghih, (2013). “Integration of graph theory and matrix approach with fuzzy AHP for equipment selection: V (6), 477-494.
  10. A. J. Chaghooshi, H. Safari and MR. Fathi, (2012). “Integration of fuzzy AHP and fuzzy GTMA for location selection of gas pressure reducing stations” a case study. V (4), 152-169.
  11. M. Darvish, M. Yasaei and A. Saeedi, (2009). “Application of the graph theory and matrix methods to contractor ranking”, Int J Proj Manag V (27), 610-619.
  12. S. Kulkarni, (2005). “Graph theory and matrix approach for performance evaluation of TQM in Indian industries”. TQM Mag. V (17), 509-526.
  13. D. Singh and R. Rao, (2011). “A hybrid multiple attribute decision making method for solving problems of industrial environment”, Int J Ind Eng Computer, V (2), 631-644.
  14. P. B. Lanjewar, R. V. Rao and A. V. Kale, (2015). “Assessment of alternative fuels for transportation using a hybrid graph theory and analytic hierarchy process method”, V (154), 9-16.
  15. K. V. Rao, P. B. Murthy and K. P. Vidhu, (2017). “Assignment of weighted to machining characteristics to improve overall performance of machining using GTMA and utility concept” CIRP J Manuf Sci Technol, V (18), 152-158.
  16. V. Jain V and T. Raj, (2016). “Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach”, Int J Prod Economics, V (171), 84-96.
  17. J. S. Chou and C. S. Ongkowijoyo, (2014). “Risk-based group decision making regarding renewable energy schemes using a stochastic graphical matrix model”, V (37), 98-109.
  18. O. U. Akaa, A. Abu, M. Spearpoint et al, (2016). “A group-AHP decision analysis for the selection of applied fire protection to steel structures” Fire Safety J, V (86), 95-105.
  19. S. A. Erdogan, J. aparauskas and Z. Turskis, (2017). “Decision making in construction management: AHP and expert choice approach”, Procedia Engineer, V (172), 270-276.
  20. F. Dweiri, S. Kumar, S. A. Khan et al, (2016). “Designing an integrated AHP based decision support system for supplier selection in automotive industry”, Expert System Application, V (62), 273-283.
  21. J. Szulecka and E. M. Zalazar, (2017). “Forest plantations in Paraguay: historical developments and a critical diagnosis in a SWOT AHP framework”, Land Use Policy, V (60), 384-394.
  22. T. Bian, J. Hu and Y. Deng, (2017). “Identifying influential nodes in complex networks based on AHP” Physics a 2017, V (479), 422-436.
  23. S. Sindhu, V. Nehra and S. Luthra, (2017). “Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis”, Case study of India. Renew Sustain Energy, V (73), 496-511.
  24. Q. Dong and O. Cooper, (2016). “An orders-of-magnitude AHP supply chain risk assessment framework”, Int J Prod Economics, V (182), 144-156.
  25. T. Hillerman, J. C. F. Souza, A. C. B. Reis et al, (2017). “Applying clustering and AHP methods for evaluating suspect healthcare claims”, J Computer Science, V (19), 97-111.
  26. O. Taylan, M, R. Kabli, M. Saeedpoor et al, (2015). “Commentary on Construction projects selection and risk assessment by Fuzzy AHP and Fuzzy TOPSIS methodologies”, Application of Soft Computer, V (36), 419-421
  27. A. O. B Mignel, et al, (2016). “An AHP-Topsis integrated model for selecting the most appropriate tomography equipment”, International Journal of Information & Technology & Decision Making, V (15), (2016)
  28. N. K. Geetha and P. Sekar, (2016). “Graph Theory Matrix Approach A Review”, Indian Journal of Science and Technology, V (9) 16.
  29. M. Saeed, M. Sahrish and T. Hina, (2017). “Hybridization of soft expert set with AHP”, International Journal of Computer Applications, V (179), 24-29.
  30. I. Arockiarni and L. Arokia, (2013). “Multicriteria Decision making problem with soft expert set”, International Journal of Computer applications, V (78).
Index Terms

Computer Science
Information Sciences

Keywords

Hybridization Soft Expert Set AHP Technique GTMA Agree soft expert set Disagree soft expert set Machine