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A Fuzzy Decision Making Approach In Evaluating Ferry Service Quality

Author

Listed:
  • Lazim ABDULLAH

    (Department of Mathematics, Faculty of Science and Technology, University of Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia,)

  • Nurhanadia WAHAB

    (Department of Mathematics, Faculty of Science and Technology, University of Malaysia Terengganu, 21030 Kuala Terengganu, Malaysia)

Abstract

The service quality evaluation is undeniably important especially in highly competitive service related industry. However, service quality evaluation is not always straightforward as criteria in evaluation and customer perceptions toward services are intangible measures. This paper presents a fuzzy multi-criteria decision making approach for evaluating the service quality of ferry that transport customers between the mainland of Peninsular Malaysia and a tourist spot island. Service quality is a composite of various criteria, among them many criteria are intangible and difficult to measure. Fuzzy numbers and linguistic level based on fuzzy sets theory as a method to overcome vaguely judgment in evaluation. The crisp survey results were collected via a ten-service criteria questionnaire from eighty seven customers and computed using Best non-Fuzzy Performance and Degree of Similarity. Based on the concept of the defuzzification, the ranking of service performance is obtained. Degree of Similarity provides the level of satisfaction and its degrees for each criterion. The criterion of ‘service efficiency of ferry personnel’ was the first in the ranking. All the criteria received ‘good’ and ‘very good’ for the level of satisfaction. These evaluation results facilitate the ferry operator to upgrade its ferry services and eventually meet its customers’ needs.

Suggested Citation

  • Lazim ABDULLAH & Nurhanadia WAHAB, 2010. "A Fuzzy Decision Making Approach In Evaluating Ferry Service Quality," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 2(1), pages 94-107, March.
    • Handle: RePEc:rom:mrpase:v:2:y:2010:i:1:p:94-107
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Hensher, David A. & Stopher, Peter & Bullock, Philip, 2003. "Service quality--developing a service quality index in the provision of commercial bus contracts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(6), pages 499-517, July.
    3. Chang, Yu-Hern & Yeh, Chung-Hsing, 2002. "A survey analysis of service quality for domestic airlines," European Journal of Operational Research, Elsevier, vol. 139(1), pages 166-177, May.
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    Citations

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    Cited by:

    1. Daniela Hincu, 2011. "Modelling The Urban Sustainable Development By Using Fuzzy Sets," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 6(2), pages 88-103, May.
    2. Md. Minhajul Islam KHAN & Dr. Md. HADIUZZAMAN & Tanmay DAS & Fahmida RAHMAN & Tahmida Hossain SHIMU, 2018. "A Structural Equation Approach In Modeling Perceived Service Quality Of Passenger Ferry," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 10(1), pages 42-63, March.
    3. Mohammad Rashid & Debapratim Pandit, 2017. "Determination of appropriate service quality attributes for household toilets in rural settlements of India based on user perception," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1381-1406, August.
    4. Huibing Cheng & Shanshui Zheng & Jianghong Feng, 2022. "A Fuzzy Multi-Criteria Method for Sustainable Ferry Operator Selection: A Case Study," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

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    More about this item

    Keywords

    Service quality; fuzzy number; satisfaction level; defuzzification.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

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