Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Management Science Letters » Fuzzy-VIKOR analysis for customer performance index of civil domestic airline industry in India

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1099)
  • ESM (428)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (101)
  • HE (37)
  • SCI (36)

MSL Volumes

    • Volume 1 (70)
      • Issue 1 (10)
      • Issue 2 (15)
      • Issue 3 (20)
      • Issue 4 (25)
    • Volume 2 (365)
      • Issue 1 (51)
      • Issue 2 (32)
      • Issue 3 (40)
      • Issue 4 (44)
      • Issue 5 (42)
      • Issue 6 (52)
      • Issue 7 (53)
      • Issue 8 (51)
    • Volume 3 (426)
      • Issue 1 (40)
      • Issue 2 (47)
      • Issue 3 (40)
      • Issue 4 (40)
      • Issue 5 (27)
      • Issue 6 (50)
      • Issue 7 (51)
      • Issue 8 (30)
      • Issue 9 (24)
      • Issue 10 (25)
      • Issue 11 (25)
      • Issue 12 (27)
    • Volume 4 (387)
      • Issue 1 (34)
      • Issue 2 (30)
      • Issue 3 (34)
      • Issue 4 (42)
      • Issue 5 (33)
      • Issue 6 (43)
      • Issue 7 (42)
      • Issue 8 (40)
      • Issue 9 (39)
      • Issue 10 (20)
      • Issue 11 (18)
      • Issue 12 (12)
    • Volume 5 (129)
      • Issue 1 (15)
      • Issue 2 (10)
      • Issue 3 (10)
      • Issue 4 (12)
      • Issue 5 (14)
      • Issue 6 (14)
      • Issue 7 (8)
      • Issue 8 (8)
      • Issue 9 (11)
      • Issue 10 (8)
      • Issue 11 (9)
      • Issue 12 (10)
    • Volume 6 (74)
      • Issue 1 (9)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (7)
      • Issue 5 (6)
      • Issue 6 (6)
      • Issue 7 (8)
      • Issue 8 (6)
      • Issue 9 (5)
      • Issue 10 (5)
      • Issue 11 (5)
      • Issue 12 (5)
    • Volume 7 (54)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
      • Issue 5 (5)
      • Issue 6 (5)
      • Issue 7 (4)
      • Issue 8 (4)
      • Issue 9 (4)
      • Issue 10 (4)
      • Issue 11 (4)
      • Issue 12 (4)
    • Volume 8 (119)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (5)
      • Issue 5 (22)
      • Issue 6 (20)
      • Issue 7 (6)
      • Issue 8 (6)
      • Issue 9 (8)
      • Issue 10 (10)
      • Issue 11 (11)
      • Issue 12 (16)
    • Volume 9 (208)
      • Issue 1 (16)
      • Issue 2 (14)
      • Issue 3 (11)
      • Issue 4 (12)
      • Issue 5 (12)
      • Issue 6 (16)
      • Issue 7 (16)
      • Issue 8 (16)
      • Issue 9 (16)
      • Issue 10 (16)
      • Issue 11 (19)
      • Issue 12 (20)
      • Issue 13 (24)
    • Volume 10 (448)
      • Issue 1 (24)
      • Issue 2 (25)
      • Issue 3 (24)
      • Issue 4 (25)
      • Issue 5 (26)
      • Issue 6 (26)
      • Issue 7 (25)
      • Issue 8 (27)
      • Issue 9 (27)
      • Issue 10 (30)
      • Issue 11 (33)
      • Issue 12 (30)
      • Issue 13 (30)
      • Issue 14 (30)
      • Issue 15 (30)
      • Issue 16 (36)
    • Volume 11 (251)
      • Issue 1 (36)
      • Issue 2 (39)
      • Issue 3 (40)
      • Issue 4 (40)
      • Issue 5 (29)
      • Issue 6 (27)
      • Issue 7 (20)
      • Issue 8 (12)
      • Issue 9 (8)
    • Volume 12 (33)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (8)
      • Issue 4 (13)
    • Volume 13 (27)
      • Issue 1 (7)
      • Issue 2 (8)
      • Issue 3 (5)
      • Issue 4 (7)
    • Volume 14 (22)
      • Issue 1 (6)
      • Issue 2 (6)
      • Issue 3 (5)
      • Issue 4 (5)
    • Volume 15 (24)
      • Issue 1 (5)
      • Issue 2 (5)
      • Issue 3 (5)
      • Issue 4 (9)
    • Volume 16 (6)
      • Issue 1 (6)

Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
Sustainability(87)
Artificial intelligence(87)
optimization(87)
Financial performance(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Knowledge Management(79)
Factor analysis(78)
Social media(78)


» Show all keywords

Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Hassan Ghodrati(31)
Basrowi Basrowi(31)
Sautma Ronni Basana(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Haitham M. Alzoubi(28)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

Countries

Iran(2198)
Indonesia(1311)
Jordan(815)
India(798)
Vietnam(510)
Saudi Arabia(478)
Malaysia(447)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(115)
Turkey(114)
Ukraine(110)
Egypt(106)
Peru(94)
Canada(93)
Morocco(87)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries

Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 5 Issue 3 pp. 301-310 , 2015

Fuzzy-VIKOR analysis for customer performance index of civil domestic airline industry in India Pages 301-310 Right click to download the paper Download PDF

Authors: Suman Saket, Amritpal Singh, Dinesh Khanduja

Keywords: Airline Industry, Customer Performance index, Fuzzy-VIKOR, MADM, MDL

Abstract: This paper considers the factor influencing on an airline carrier based on operations of an airport on the routes flown out of that airport. This study deals with evaluation of the Customer Performance index (CPI) of distinct domestic civil airlines in India. CPI consists of various parameters; among them many disembodied parameters, which are difficult to measure. In this context, initially we identified the prime factors that are crucial for evaluation of performances provided by various airlines in India. Thereafter, in order to determine the hierarchy among these factors; modified digital logic (MDL) approach is employed and cost is found to be the most important criteria. Furthermore, CPI is calculated using fuzzy-VIKOR approach. Such approaches can help the airlines in re-evaluating their current policies and then formulate comparatively more efficient market strategies to improve performance quality and to gain customers’ loyalty.

How to cite this paper
Saket, S., Singh, A & Khanduja, D. (2015). Fuzzy-VIKOR analysis for customer performance index of civil domestic airline industry in India.Management Science Letters , 5(3), 301-310.

Refrences
Airfleets aviation (2012). http://www.airindia.in/domestic-network.htm

Airindia. (2014). domestic, from http://www.airindia.in/domestic-network.htm

Aya?, Z., & ?zdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17(2), 179-190.

Azar, A., Olfat, L., Khosravani, F., & Jalali, R. (2011). A BSC method for supplier selection strategy using TOPSIS and VIKOR: A case study of part maker industry. Management Science Letters, 1(4), 559-568.

Azimi, M., Taghizadeh, H., Farahmand, N., & Pourmahmoud, J. (2014). Selection of industrial robots using the Polygons area method. International Journal of Industrial Engineering Computations, 5(4), 631-646.

Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management science, 17(4), B-141-B-164.

Bevilacqua, M., Ciarapica, F., & Giacchetta, G. (2006). A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management, 12(1), 14-27.

Dehghan-Manshadi, B., Mahmudi, H., Abedian, A., & Mahmudi, R. (2007). A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method. Materials & Design, 28(1), 8-15.

Deng, H, Y. C., Willis RJ. (2000). Inter-company comparison using TOPSIS with objective weights. Comput Oper Res 27, 963–973.

DGCA. (2014). Traffic Report.

Goair. (2014), from http://www.goair.in/menu/about-us

Ho, W. (2008). Integrated analytic hierarchy process and its applications–a literature review. European Journal of operational research, 186(1), 211-228.

Jahan, A., Mustapha, F., Ismail, M. Y., Sapuan, S., & Bahraminasab, M. (2011). A comprehensive VIKOR method for material selection. Materials & Design, 32(3), 1215-1221.

Kingfisher Airline Crisis Timeline. (2013). the hindu online. Retrieved from http://www.thehindu.com/business/Industry/kingfisher-airlines-crisis-timeline/article4636635.ece

Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455. doi: http://dx.doi.org/10.1016/S0377-2217(03)00020-1

Opricovic, S., & Tzeng, G.-H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514-529. doi: http://dx.doi.org/10.1016/j.ejor.2006.01.020

Peide, L., & Minghe, W. (2011). An extended VIKOR method for multiple attribute group decision making based on generalized interval-valued trapezoidal fuzzy numbers. Scientific Research and Essays, 6(4), 765-776.

Rao, R. V. (2006). A material selection model using graph theory and matrix approach. Materials Science and Engineering: A, 431(1), 248-255.

Report., D. T. (2014), from http://www.dgca.nic.in/reports/Traffic-ind.htm.

Ribeiro, R. A. (1996). Fuzzy multiple attribute decision making: a review and new preference elicitation techniques. Fuzzy sets and systems, 78(2), 155-181.

Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26.

San Crist?bal, J. (2011). Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method. Renewable energy, 36(2), 498-502.

Sanayei, A., Farid Mousavi, S., & Yazdankhah, A. (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37(1), 24-30.

Shanian, A., & Savadogo, O. (2006). TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104.

Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160-12167.

Shukla, T. (Jan 21, 2014). http://www.livemint.com/Companies/pZ7o1VM5E8hWRKhZFer0aI/Air-traffic-registers-443-growth-in-2013.html, livemint.

Sun, C.-C. (2010). A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Systems with Applications, 37(12), 7745-7754.

TNN. (dec 5,2014). http://timesofindia.indiatimes.com/business/india-business/AAI-puts-financially-embattled-low-cost-carrier-SpiceJet-on-cash-and-carry/articleshow/45379124.cms, times of india.

Torlak, G., Sevkli, M., Sanal, M., & Zaim, S. (2011). Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry. Expert Systems with Applications, 38(4), 3396-3406.

Tsai, W.-H., Chou, W.-C., & Leu, J.-D. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38(12), 15499-15516.

Vats, G., & Vaish, R. (2013a). Piezoelectric material selection for transducers under fuzzy environment. Journal of Advanced Ceramics, 2(2), 141-148. doi: 10.1007/s40145-013-0053-1

Vats, G., & Vaish, R. (2013b). Selection of Lead?Free Piezoelectric Ceramics. International Journal of Applied Ceramic Technology.

Vats, G., & Vaish, R. (2014a). Phase Change Materials Selection for Latent Heat Thermal Energy Storage Systems (LHTESS): An Industrial Engineering Initiative Towards Materials Science. Advanced Science Focus, 2(2), 140-147. doi: 10.1166/asfo.2014.1091

Vats, G., & Vaish, R. (2014b). Selection of Lead-Free Piezoelectric Ceramics. International Journal of Applied Ceramic Technology, 11(5), 883-893. doi: 10.1111/ijac.12063

Vats, G., & Vaish, R. (2014c). Selection of optimal sintering temperature of K0.5Na0.5NbO3 ceramics for electromechanical applications. Journal of Asian Ceramic Societies, 2(1), 5-10.

Vats, G., Vaish, R., & Bowen, C. R. (2013). Selection of Ferroelectric Ceramics for Transducers and Electrical Energy Storage Devices. International Journal of Applied Ceramic Technology, n/a-n/a.

Vats, S., Vats, G., Vaish, R., & Kumar, V. (2014). Selection of optimal electronic toll collection system for India: A subjective-fuzzy decision making approach. Applied Soft Computing, 21(0), 444-452.

Yurdakul, M. (2004). AHP as a strategic decision-making tool to justify machine tool selection. Journal of Materials Processing Technology, 146(3), 365-376.

Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.

Zadeh, L. A. (1983). The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets and Systems, 11(1–3), 197-198.
  • 85
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: Management Science Letters | Year: 2015 | Volume: 5 | Issue: 3 | Views: 2842 | Reviews: 0

Related Articles:
  • Ranking green electronic supplier in auto industry using fuzzy Delphi
  • Q-analysis in Materials Selection
  • An extension of compromise ranking method with interval numbers for the eva ...
  • Selection of materials using multi-criteria decision-making methods with mi ...
  • Supplier evaluation in manufacturing environment using compromise ranking m ...

Add Reviews

Name:*
E-Mail:
Review:
Bold Italic Underline Strike | Align left Center Align right | Insert smilies Insert link URLInsert protected URL Select color | Add Hidden Text Insert Quote Convert selected text from selection to Cyrillic (Russian) alphabet Insert spoiler
winkwinkedsmileam
belayfeelfellowlaughing
lollovenorecourse
requestsadtonguewassat
cryingwhatbullyangry
Security Code: *
Include security image CAPCHA.
Refresh Code

® 2010-2026 GrowingScience.Com