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South Indian River Ranking using Fuzzy Analytic Hierarchy Process

A. Rajkumar1 , M.Chandramohan 2

Section:Review Paper, Product Type: Isroset-Journal
Vol.5 , Issue.5 , pp.51-59, Oct-2018


CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v5i5.5159


Online published on Oct 31, 2018


Copyright © A. Rajkumar, M.Chandramohan . 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: A. Rajkumar, M.Chandramohan, “South Indian River Ranking using Fuzzy Analytic Hierarchy Process,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.5, Issue.5, pp.51-59, 2018.

MLA Style Citation: A. Rajkumar, M.Chandramohan "South Indian River Ranking using Fuzzy Analytic Hierarchy Process." International Journal of Scientific Research in Mathematical and Statistical Sciences 5.5 (2018): 51-59.

APA Style Citation: A. Rajkumar, M.Chandramohan, (2018). South Indian River Ranking using Fuzzy Analytic Hierarchy Process. International Journal of Scientific Research in Mathematical and Statistical Sciences, 5(5), 51-59.

BibTex Style Citation:
@article{Rajkumar_2018,
author = {A. Rajkumar, M.Chandramohan},
title = {South Indian River Ranking using Fuzzy Analytic Hierarchy Process},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {10 2018},
volume = {5},
Issue = {5},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {51-59},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=866},
doi = {https://doi.org/10.26438/ijcse/v5i5.5159}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i5.5159}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=866
TI - South Indian River Ranking using Fuzzy Analytic Hierarchy Process
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - A. Rajkumar, M.Chandramohan
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 51-59
IS - 5
VL - 5
SN - 2347-2693
ER -

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Abstract :
Nowadays, water resource management should be managed in integrated manner including water quality, water quantity, land use and economy, especially when we wanted to find the highest potential river to be developed for efficient use of water systems. Water resources planning and management should consider various aspects of river basins. Current river ranking techniques namely, water quality index, and national water quality standard were found to only consider water quality aspects. In this study a special focus is given on the method that deals with vague data which the decision making accounted during data acquisition. The river ranking problem is a strategic issue and has significant impact on the efficiency of a river system. On the other hand, the river ranking among many alternatives presents a multi-criteria decision Making (MCDM) problem. Hence, fuzzy set theory can be applied. Fuzzy Analytic Hierarchy Process (FAHP) technique is used to rank alternatives to find the efficient use of the river system. Fuzzy number and linguistic variable are used to in-currently vague data. Four criteria and twenty sub criteria and identify, tested and applied to real data. The FAHP is used to analyze the structure of the river ranking problem. A real world application is conducted to illustrate the utilization of the model using the valuable data pertaining to a six south Indian rivers. The application can interpreted as demonstrating the effectiveness and feasibility of the FHAP model.

Key-Words / Index Term :
FAHP, MCDM, WQI, Triangular fuzzy Number

References :
[1] Fuzzy sets and fuzzy logic theory and applications. George j. kir and Bo Yuan. PHI learning private limited 2012.
[2]Gesiri G., “Pemeringkatan Sungai-sungai Selatan Johor menggunakan perisian HIPRE3+”.Tesis Projek Sarjana Muda, Fakulti Kejuruteraan Awam, Univeristi Teknologi Malaysia, (2005).
[3]Efendigil, T., Onut, S., Kongar, E., “A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness”, Computers & Industrial Engineering, Vol. 54, (2008), pp. 269-287.
[4]Ho, W., “Integrated Analytic Hierarchy Process and Its Applications – A literature review", European Journal of Operational Research, Vol. 186, No. 1, (2008), pp. 211-228.
[5] Hajkowicz, S., Collins, K., “A review of multiple criteria analysis for water resource planning and management”, Water Resources Management, Vol. 21, No. 9, (2007), pp. 1553-1566.
[6] Balteiro-Diaz L, Romero C., “Making forestry decisions with multiple criteria: A review and an assessment”, Forest Ecology and Management, Vol. 255 (2008), pp. 3222–3241.
[7] Steuer, R. E., Na, P., ”Multiple criteria decision making combined with finance: A categorized bibliographic study”, European Journal of Operational Research, Vol. 150, No. 3, (2003), pp. 496-515.
[8] Vadya, O.S., Kumar, S., “Analytic hierarchy process: An Overview of applications”, European Journal of Operational Research, Vol. 169, No. 1, (2006), pp. 1-29.
[9] M. Ashari, A., S. Zaiton, M.H., Supiah, S., “AI Applications in MCDM: A Review”, Post Graduate Research Seminar, 2008 (PARS’08), Faculty of Computer Science & Information Systems, Universiti Teknologi Malaysia, July 2-3, (2008).
[10] Bottani, E., Rizzi, A., “An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction”, Int. J. Production Economics, Vol. 111, (2008), pp. 763-781.
[11] Buyukozkan, G., Feyzioglu, O., Nebol, E., “Selection of the strategic alliance partner in logistics value chain”, Int. J. Production Economics, Vol. 113, (2008), pp. 148-158.
[12] Cascales, M. S. G., Lamata, M. T., “Fuzzy Analytical Hierarchy Process in Maintenance Problem”, IEA/AIE 2008, LNAI 5027, (2008), pp. 815-824.
[13] Pan, N.-F., “Fuzzy AHP approach for selecting the suitable bridge construction method”, Automation in Construction, Vol. 17, (2008), pp. 958-965.
[14] Sheu, J. B., “A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management”, European Journal of Operational Research, Vol. 189, (2008), pp. 971-986.
[15] Tsai, M. T., Wu, H. L., Liang, W. K.., “Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores”, Quality & Quantity, Vol. 42, (2008), pp. 303-319.
[16] Wu, C. R., Lin, C. T., Chen, H. C., “Integrated environmental assessment of the location selection with fuzzy analytical network process”, Quality and Quantity, Online first, (2008).
[17] Huang, C. C., Chu, P. Y., Chiang, Y. H., “A fuzzy AHP application in Government - sponsored R&D project selection”, Omega, Vol. 36, No. 6), (2008), pp. 1038(15).
[18] Lee, D., Lee, C., Pietrucha, M. T., “Evaluation of driver satisfaction of travel information on variable message signs using fuzzy aggregation”, Journal of Advanced Transportation, Vol. 42, No. 1, (2008), pp. 5(18).
[19] Chang, C. W., Wu, C. R., Chen, H. C., “Using Expert Technology to Select Unstable Slicing Machine to Control Wafer Slicing Quality via Fuzzy AHP”, Expert Systems with Applications, Vol. 34, No. 3, (2008), pp. 2210-2220.
[20] Chang, C W, Wu C R, Lin C T, Chen H C., “Evaluating and controlling silicon wafer slicing quality using fuzzy analytical hierarchy and sensitivity analysis”, Int J Adv Manuf Technol Vol. 36, (2008), pp. 322–333.
[21] Chang, T. -H., Wang, T.-C., “Measuring the success possibility of implementing advanced manufacturing”, Expert Systems with Applications (2008), doi:10.1016/j.eswa.2008.03.019
[22] Chen, M. F., Tzeng, G. H., Ding, C.G., “Combining Fuzzy AHP with MDS In Identifying The Preference Similarity of Alternatives”, Applied Soft Computing, Vol. 8, No. 1, (2008), pp. 110-117.
[23] Chen Y, Qu L., “Evaluating the Selection of Logistics Centre Location Using Fuzzy MCDM Model Based on Entropy Weight, Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21 - 23, (2006), Dalian, China.
[24] Dagdeviren, M., Yuksel, I., “Developing a Fuzzy Analytic Hierarchy Process (AHP) Model for Behavior-based Safety Management”, Information Sciences, Vol. 178, No. 6, (2008), pp. 1717-1733, 200
[25] Nagahanumaiah, Subburaj, K., Ravi, B., “Computer Aided Rapid Tooling Process Selection and Manufacturability Evaluation for Injection Mold Development”, Computers in Industry, Vol. 59 (2), (3), (2008), pp. 262-276.
[26] Duran, O., Aguilo, J., “Computer-aided Machine-tool Selection Based on A Fuzzy-AHP Approach”, Expert Systems with Applications, Vol. 34, No. 3, (2008), pp. 1787-1794.
[27] Onut, S., Kara, S.S., Efendigil, T., “A hybrid fuzzy MCDM approach to machine tool selection”, J Intell Manuf., Vol. 19, N. 4, (2008), pp. 443-453.
[28] Yang, J. L., Chiu, H. N., Tzeng, G. H., “Vendor selection by integrated fuzzyMCDM techniques with independence and Interdependence, To appear in Information Sciences, Accepted manuscript. (2008).
[29] Wang YM, Luo Y, Hua Z., “On the extent analysis method for fuzzy AHP and its applications”, European Journal of Operational Research, Vol. 186, (2008), pp. 735-747.
[30] Saaty T L, Kearns K P., Analytical Planning - The organizations of Systems, Pergamon Press, pp.19-62. (1985)
[31] Supiah, S., NorBaharim, H., Azmi, A.R., Gesiri, G., “Southern Johor River Ranking Using HIPRE 3+”, International Conference on Reservoir Operation and River Management, Guangzhou & Three Gorges, China, (2005).
[32] DID, Department of Irrigation and Drainage of Malaysia, http://www.water.gov.my/index.php?option=com_content&task=view&id=1 6&Itemid=265 (5th February, 2009)
[33] Zopounidis, C., Stewart, T. J., Doumpos, M., Editorial, J Glob opt. (2008).
[34] Hajkowicz, S, Higgins, A., “A comparison of multiple criteria analysis techniques for water resource management”, European Journal of Operational Research, Vol. 184, (2008), pp. 255–265.
[35] Hajkowicz, S., Collins, K., “A review of multiple criteria analysis for water resource planning and management”, Water Resources Management, Vol. 21, No. 9, (2007), pp. 1553-1566.
[36] Phillips-Wren, G., “Assisting Human Decision Making with Intelligent Technologies”, Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems. Part I. Springer-Verlag. Lecture Notes In Artificial Intelligence; Vol. 5177, (2008), pp. 1-10. Keynote Lectures.
[37] Ho, W., “Integrated Analytic Hierarchy Process and Its Applications – A literature review”, European Journal of Operational Research, Vol. 186, No. 1, (2008), pp. 211-228.
[38] Hajkowicz, S.A., Wheeler, S. A., “Evaluation of Dairy Effluent Management Options Using Multiple Criteria Analysis”, Environmental Management, Vol. 41, (2008), pp. 613-624.
[39] Hashimoto, T.(1980). Robustness, reliability, resilience and vulnerability criteria for water resources planning. Ph.D. dissertation, Cornell Univ., Ithaca, N.Y.,USA.[40] Hashimoto, R., J.R. Stedinger and D.P. Loucks (1982). Reliability, resiliency and vulnerability criteria for water resources system performance evaluation. Water resources Research, vol.18, No.1.
[41] Aller, L., Bennett, T., Lehr, J.H. & Petty, R.J.(1985) DRASTIC: A Standardized System for Evaluating Ground Water pollution Potential Using Hydrogeological Settings. EPA/600/2-85/018.
[42] Bolton, K. F. & Curtis, F. A. (1990) An environmental assessment procedure for siting solid waste disposal sites. Environmental Impace Assessment Review 10, 285-296.
[43] Hamed, M. M., Conte, J.P. & Bedient, P.B. (1995) Probabilistic screening tool for ground water contamination assessment. Journal of Environmental Engineering (ASCE) 121(11), 767-775.
[44] CHEN Shou-yu, “Theory and method of variable fuzzy set in water resources and flood control system,” Dalian: Dalian University of Technology Press, 2005, pp:226-235.
[45] LI Ya-wei, CHEN Shou-yu and FU Tie, “Comprehensive evaluation of water resource carrying capacity based on fuzzy recognition,” Advances in Water Science, vol. 16, 2005, pp:726-729.
[46] XU Pengzhu and QIN Boqiang, “Degeneration cause, restoration and reconstruction imagination for the ecosystem of lakeside Zone of Taihu Lake,” water resources protect, vol. 18(3), 2002, pp, 31-36.
[47] Chen S.H. (1985) Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets and Systems 17. 113-129.
[48] Balteiro-Diaz L, Romero C., “Making forestry decisions with multiple criteria: A review and an assessment”, Forest Ecology and Management, Vol.255 (2008), pp. 3222-3241.
[49] Steuer, R. E., Na, P., “Multiple criteria decision making combined with finance: A categorized bibliographic study”, European Journal of Operational Research, Vol. 150, No.3, (2003), pp. 496-515.
[50] Bender MJ, Simonovic SP. 2000. A fuzzy compromise approach to water resource systems planning under uncertainty. Fuzzy sets and Systems 115:35-44.
[51] Chen SM, 1994. A new method for handling multicriteria fuzzy decision making problems. Cybernetics and System 25:409-420.
[52] Cornell G. 2001. Visual Basic 6 from the Ground up. Tata McGraw-Hill: New Delhi, India.
[53] Heyder WE, Gates TK, Fontane DG. Salas JD. 1991. Multicriterion strategic planning for improvd irrigation delivery. II: application. Journal of Irrigation and Drainage Engineering 117:914-934.

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