A linguistic multicriteria decision‐making model applied to hotel service quality evaluation from web data sources

Currently, there are a large number of hotel Web sites that develop their own seals of quality based on customer feedback. As a result, a hotel can be classified differently by various Web sites at the same time, creating confusion in the consumer perceptions about the quality of a given hotel. Moreover, there are attempts to standardize such service quality evaluation, such as the SERVQUAL instrument, which is a multiple‐item scale for measuring service quality with several dimensions. In this context, we present a two‐stage linguistic multicriteria decision‐making model to integrate the hotel guests' opinions included in several Web sites, with two objectives: on the one hand, obtaining a SERVQUAL scale evaluation value of service quality with the integrated answers of the input opinions; on the other hand, getting a SERVQUAL overall evaluation value of service quality. This model is incorporated into an opinion aggregation architecture to integrate heterogeneous data (natural language included) from various tourism Web sites. As a particular case study, we show an application example using the high‐end hotels located in Granada (Spain). © 2012 Wiley Periodicals, Inc.

[1]  Songbo Tan,et al.  A survey on sentiment detection of reviews , 2009, Expert Syst. Appl..

[2]  Bing Liu,et al.  Mining Opinion Features in Customer Reviews , 2004, AAAI.

[3]  J. Kacprzyk Group decision making with a fuzzy linguistic majority , 1986 .

[4]  G. Tzeng,et al.  Evaluating sustainable fishing development strategies using fuzzy MCDM approach , 2005 .

[5]  Enrique Herrera-Viedma,et al.  A Model Based on Fuzzy Linguistic Information to Evaluate the Quality of Digital Libraries , 2010, Int. J. Inf. Technol. Decis. Mak..

[6]  A. Parasuraman,et al.  Alternative scales for measuring service quality: A comparative assessment based on psychometric and diagnostic criteria , 1994 .

[7]  Paul Dixon,et al.  Basics of Oracle Text Retrieval , 2001, IEEE Data Eng. Bull..

[8]  A. Parasuraman,et al.  Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Further Research , 1994 .

[9]  Ling-Feng Hsieh,et al.  A service quality measurement architecture for hot spring hotels in Taiwan , 2008 .

[10]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[11]  Giuseppe Carenini,et al.  Extracting knowledge from evaluative text , 2005, K-CAP '05.

[12]  Francisco Herrera,et al.  A fusion approach for managing multi-granularity linguistic term sets in decision making , 2000, Fuzzy Sets Syst..

[13]  Chris Ryan,et al.  Analysing Service Quality in the Hospitality Industry Using the SERVQUAL Model , 1991 .

[14]  Hung-Tso Lin,et al.  Fuzzy application in service quality analysis: An empirical study , 2010, Expert Syst. Appl..

[15]  Francisco Herrera,et al.  Aggregation operators for linguistic weighted information , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[16]  Lotfi A. Zadeh,et al.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[17]  Roberta Minazzi Hotel Classification Systems: A Comparison of International Case Studies , 2010 .

[18]  Ronald R. Yager,et al.  An approach to ordinal decision making , 1995, Int. J. Approx. Reason..

[19]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[20]  Enrique Herrera-Viedma,et al.  Group decision making problems in a linguistic and dynamic context , 2011, Expert Syst. Appl..

[21]  Francisco Herrera,et al.  Direct approach processes in group decision making using linguistic OWA operators , 1996, Fuzzy Sets Syst..

[22]  Wen Pei,et al.  Fuzzy neural based importance-performance analysis for determining critical service attributes , 2009, Expert Syst. Appl..

[23]  Enrique Herrera-Viedma,et al.  A Fuzzy Linguistic IRS Model Based on a 2-Tuple Fuzzy Linguistic Approach , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[24]  Enrique Herrera-Viedma,et al.  Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words , 2006, J. Assoc. Inf. Sci. Technol..

[25]  David C. Howell,et al.  Unidimensional Scaling , 2004 .

[26]  Tien-Tsai Huang,et al.  Using Statistical Data and Signed Distance of Fuzzy Aggregate Evaluation Method on Application of Measuring Service Quality of Hotel , 2005 .

[27]  Piero P. Bonissone,et al.  Selecting Uncertainty Calculi and Granularity: An Experiment in Trading-off Precision and Complexity , 1985, UAI.

[28]  Bin Ma,et al.  Specialized Review Selection for Feature Rating Estimation , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[29]  A. Parasuraman,et al.  A Conceptual Model of Service Quality and Its Implications for Future Research , 1985 .

[30]  Francisco Herrera,et al.  A 2-tuple fuzzy linguistic representation model for computing with words , 2000, IEEE Trans. Fuzzy Syst..

[31]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[32]  Enrique Herrera-Viedma,et al.  A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires , 2011, Int. J. Comput. Intell. Syst..

[33]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[34]  Francisco Herrera,et al.  Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations , 1998, Fuzzy Sets Syst..

[35]  Enrique Herrera-Viedma,et al.  A quality evaluation methodology for health-related websites based on a 2-tuple fuzzy linguistic approach , 2010, Soft Comput..

[36]  Enrique Herrera-Viedma,et al.  A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling , 2010, Int. J. Comput. Intell. Syst..

[37]  Francisco Herrera,et al.  Group decision making with incomplete fuzzy linguistic preference relations , 2009, Int. J. Intell. Syst..

[38]  Gloria Bordogna,et al.  A linguistic modeling of consensus in group decision making based on OWA operators , 1997, IEEE Trans. Syst. Man Cybern. Part A.

[39]  Miyoung Jeong,et al.  Adaptation of an information quality framework to measure customers’ behavioral intentions to use lodging Web sites , 2001 .

[40]  A. Akbaba MEASURING SERVICE QUALITY IN THE HOTEL INDUSTRY: A STUDY IN A BUSINESS HOTEL IN TURKEY , 2006 .

[41]  Katsumi Tanaka,et al.  A Novel Visualization Method for Distinction of Web News Sentiment , 2009, WISE.

[42]  Enrique Herrera-Viedma,et al.  Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words: Special Topic Section on Soft Approaches to Information Retrieval and Information Access on the Web , 2006 .

[43]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[44]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[45]  J. Gliem,et al.  Calculating, Interpreting, And Reporting Cronbach’s Alpha Reliability Coefficient For Likert-Type Scales , 2003 .

[46]  Luisa Lucila Lazzari,et al.  An Alternative Operationalization of Fuzzy Consideration Set. Application to Tourism , 2009, IFSA/EUSFLAT Conf..

[47]  Themis Palpanas,et al.  Mining Subjective Data on the Web , 2010 .

[48]  Enrique Herrera-Viedma,et al.  Recommending biomedical resources: A fuzzy linguistic approach based on semantic web , 2010, Int. J. Intell. Syst..

[49]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[50]  Ronald R. Yager,et al.  Quantifier guided aggregation using OWA operators , 1996, Int. J. Intell. Syst..

[51]  Enrique Herrera-Viedma,et al.  An Information Retrieval Model with Ordinal Linguistic Weighted Queries Based on Two Weighting Elements , 2001, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[52]  A. Parasuraman,et al.  Refinement and reassessment of the SERVQUAL scale. , 1991 .

[53]  Enrique Herrera-Viedma,et al.  Dealing with incomplete information in a fuzzy linguistic recommender system to disseminate information in university digital libraries , 2010, Knowl. Based Syst..

[54]  Juan Manuel Campos Benítez,et al.  Using fuzzy number for measuring quality of service in the hotel industry , 2007 .

[55]  Luis Martínez-López,et al.  An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context , 2009, IEEE Transactions on Fuzzy Systems.

[56]  Ruwei Dai,et al.  AMAZING: A sentiment mining and retrieval system , 2009, Expert Syst. Appl..