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Development of interval-valued fuzzy GRA with SERVPERF based on subjective and objective weights for evaluation of airline service quality: A case study of Korea low-cost carriers

机译:基于主客观权重的SERVPERF区间值模糊GRA算法对航空公司服务质量的评价-以韩国廉价航空公司为例

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摘要

As the airline industry has become ever-more competitive and profitability more tenuous, airline service quality management has grown more important to airlines. Although many studies have focused on the evaluation of airline service quality, some common limitations need to be noted. First, traditional fuzzy logics were utilized to present linguistic variables as fuzzy numbers. However, precise quantification of lower and upper bounds with a single number is often difficult; thus, interval-valued fuzzy sets that represent the lower and upper bounds in the fuzzy number as an interval form should be applied instead. Second, while some studies have applied various multiple-criteria decision-making method [MCDM] and the service quality (SERVQUAL) method for evaluation of airline service quality, few have utilized grey relational analysis (GRA, a simple and data-driven MCDM method applicable to environments with incomplete information) and the service performance (SERVPERF), a performance-based measure that can resolve the ambiguity issue of the expectations construct in SERVQUAL. Third, extant studies dealing with the issue of weighting criteria in the evaluation of airline service quality have focused only on either subjective or objective weights, though weighting criteria based on a combined objective/subjective approach would be much better than those just considering the subjective approach. The present study endeavored to fill these literature gaps by developing, for evaluation of airline service quality, interval-valued fuzzy GRA with SERVPERF based on both subjective and objective weights. It contributes to the field by incorporating the 22 criteria from SERVPERF to effectively account for the various characteristics of airline service. Additionally, it is the first study to utilize interval-valued fuzzy GRA together with a novel technique that combines a subjective/objective weighting method for integration of objective decision-matrix-derived information with subjective decision-maker preferences. The supplemental empirical case study of airline service evaluation, further, provides researchers and practitioners with a means of better understanding the proposed approach in the practical perspectives.
机译:随着航空业竞争越来越激烈,利润越来越脆弱,航空服务质量管理对航空公司而言变得越来越重要。尽管许多研究都集中在评估航空公司的服务质量上,但需要注意一些常见的局限性。首先,利用传统的模糊逻辑将语言变量表示为模糊数。但是,用一个数字精确地量化上下限通常很困难;因此,应改为使用表示模糊数上下限的间隔值模糊集作为间隔形式。其次,虽然一些研究已将各种多准则决策方法[MCDM]和服务质量(SERVQUAL)方法用于航空公司的服务质量评估,但很少有人利用灰色关联分析(GRA)这种简单的数据驱动的MCDM方法适用于信息不完整的环境)和服务性能(SERVPERF),这是一种基于性能的度量,可以解决SERVQUAL中期望构造的歧义问题。第三,在航空公司服务质量评估中,有关加权标准问题的现有研究仅集中于主观或客观权重,尽管基于客观/主观综合方法的加权标准将比仅考虑主观方法的加权标准好得多。 。本研究致力于通过开发基于主观和客观权重的SERVPERF区间值模糊GRA来评估航空公司的服务质量,从而填补这些文献空白。它通过合并SERVPERF的22条标准为该领域做出了贡献,以有效地说明航空公司服务的各种特征。此外,这是第一个将区间值模糊GRA与新技术结合起来的研究,该技术结合了主观/客观加权方法,将客观决策矩阵衍生信息与主观决策者偏好整合在一起。航空服务评估的补充经验案例研究进一步为研究人员和从业人员提供了一种从实践角度更好地理解所提出方法的方法。

著录项

  • 期刊名称 PLoS Clinical Trials
  • 作者

    Sanghoon Lee; Daekook Kang;

  • 作者单位
  • 年(卷),期 2012(14),8
  • 年度 2012
  • 页码 e0219739
  • 总页数 27
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 12:36:42

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