Group multigranular linguistic QFD for prioritizing service designs with combined weighting method

[1]  Jianqiang Wang,et al.  Personalized restaurant recommendation method combining group correlations and customer preferences , 2018, Inf. Sci..

[2]  Juan M. Corchado,et al.  Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods , 2017, Knowl. Based Syst..

[3]  Wang Yingming,et al.  Using the method of maximizing deviation to make decision for multiindices , 2012 .

[4]  Shui Yu,et al.  Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design , 2019, Eur. J. Oper. Res..

[5]  Francisco Herrera,et al.  A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups , 2019, IEEE Transactions on Fuzzy Systems.

[6]  Jianrong Tan,et al.  Quantification for the importance degree of engineering characteristics with a multi-level hierarchical structure in QFD , 2016 .

[7]  Jin-Hsien Wang,et al.  A new version of 2-tuple fuzzy linguistic representation model for computing with words , 2006, IEEE Trans. Fuzzy Syst..

[8]  Zeshui Xu,et al.  Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty , 2018, Inf. Sci..

[9]  Ching-Chan Cheng,et al.  Quality education service: put your feet in their shoes , 2016 .

[10]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[11]  Zhang-peng Tian,et al.  Green Supplier Selection Using Improved TOPSIS and Best-Worst Method Under Intuitionistic Fuzzy Environment , 2018, Informatica.

[12]  Yucheng Dong,et al.  Multi-granular unbalanced linguistic distribution assessments with interval symbolic proportions , 2015, Knowl. Based Syst..

[13]  Lin Li,et al.  Group decision-making approach for evaluating the sustainability of constructed wetlands with probabilistic linguistic preference relations , 2019, J. Oper. Res. Soc..

[14]  Hong-yu Zhang,et al.  Discussing incomplete 2-tuple fuzzy linguistic preference relations in multi-granular linguistic MCGDM with unknown weight information , 2019, Soft Comput..

[15]  Richard Y. K. Fung,et al.  An integrated decision-making approach for designing and selecting product concepts based on QFD and cumulative prospect theory , 2018, Int. J. Prod. Res..

[16]  Witold Pedrycz,et al.  A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts , 2013, Eur. J. Oper. Res..

[17]  Jian Li,et al.  Consensus building for hesitant fuzzy preference relations with multiplicative consistency , 2019, Comput. Ind. Eng..

[18]  J. Rezaei.  Best-worst multi-criteria decision-making method: Some properties and a linear model , 2016 .

[19]  Enrique Herrera-Viedma,et al.  On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends , 2015, Knowl. Based Syst..

[20]  Liang-Chih Huang,et al.  Fuzzy Group Decision-Making for Service Innovations in Quality Function Deployment , 2012 .

[21]  Fatma Pakdil,et al.  Combined analysis of service expectations and perceptions in lodging industry through quality function deployment , 2017 .

[22]  Yin-Feng Xu,et al.  Consistency and consensus measures for linguistic preference relations based on distribution assessments , 2014, Inf. Fusion.

[23]  Huchang Liao,et al.  An approach to quality function deployment based on probabilistic linguistic term sets and ORESTE method for multi-expert multi-criteria decision making , 2018, Inf. Fusion.

[24]  Xiaobing Li,et al.  Determining importance ratings of patients’ requirements with multi-granular linguistic evaluation information , 2017, Int. J. Prod. Res..

[25]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[26]  Mehdi Rajabi Asadabadi.  A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain , 2017, Eur. J. Oper. Res..

[27]  Miyoung Jeong,et al.  Quality function deployment: An extended framework for service quality and customer satisfaction in the hospitality industry , 1998 .

[28]  Jian Li,et al.  Multi-criteria decision-making method based on dominance degree and BWM with probabilistic hesitant fuzzy information , 2018, International Journal of Machine Learning and Cybernetics.

[29]  Ming-Lu Wu,et al.  Quality function deployment: A literature review , 2002, Eur. J. Oper. Res..

[30]  Hong-yu Zhang,et al.  An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets , 2014, Inf. Sci..

[31]  Wei Luo,et al.  Identifying key performance factors for sustainability development of SMEs – integrating QFD and fuzzy MADM methods , 2017 .

[32]  Huchang Liao,et al.  The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next? , 2019, Omega.

[33]  G. R. Fick,et al.  Measuring Service Quality in the Travel and Tourism Industry , 1991 .

[34]  Zhang-peng Tian,et al.  Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment , 2018, Knowl. Based Syst..

[35]  Zeshui Xu.  An Interactive Approach to Multiple Attribute Group Decision Making with Multigranular Uncertain Linguistic Information , 2009 .

[36]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[37]  S. R. Devadasan,et al.  Advanced models of quality function deployment: a literature review , 2016 .

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

[39]  Hu-Chen Liu,et al.  New approach for quality function deployment based on proportional hesitant fuzzy linguistic term sets and prospect theory , 2019, Int. J. Prod. Res..

[40]  Nicolas Haber,et al.  Integrating QFD for product-service systems with the Kano model and fuzzy AHP , 2020 .

[41]  Toni Lupo,et al.  A fuzzy framework to evaluate service quality in the healthcare industry: An empirical case of public hospital service evaluation in Sicily , 2016, Appl. Soft Comput..

[42]  Francisco Herrera,et al.  A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets , 2008, IEEE Transactions on Fuzzy Systems.

[43]  Witold Pedrycz,et al.  A review of soft consensus models in a fuzzy environment , 2014, Inf. Fusion.

[44]  Zhang-peng Tian,et al.  Signed distance-based consensus in multi-criteria group decision-making with multi-granular hesitant unbalanced linguistic information , 2018, Comput. Ind. Eng..

[45]  S. H. Amin,et al.  A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry , 2018, Expert Syst. Appl..

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

[47]  Zhen Zhang,et al.  Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets , 2017, Comput. Ind. Eng..

[48]  Tieju Ma,et al.  European Journal of Operational Research a Group Decision-making Approach to Uncertain Quality Function Deployment Based on Fuzzy Preference Relation and Fuzzy Majority , 2022 .

[49]  Lauro Osiro,et al.  A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics , 2018 .

[50]  Pisal Yenradee,et al.  Fuzzy QFD approach for managing SCOR performance indicators , 2018, Comput. Ind. Eng..

[51]  Yashuai Li,et al.  A novel fuzzy linguistic model for prioritising engineering design requirements in quality function deployment under uncertainties , 2013 .

[52]  D. Gomezelj,et al.  A systematic review of research on innovation in hospitality and tourism , 2016 .

[53]  Shui Yu,et al.  Linguistic Computational Model Based on 2-Tuples and Intervals , 2013, IEEE Transactions on Fuzzy Systems.

[54]  Hu-Chen Liu,et al.  Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle , 2017, Int. J. Prod. Res..

[55]  Francisco Herrera,et al.  Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study , 2014, Inf. Fusion.

[56]  P. Yu.  A Class of Solutions for Group Decision Problems , 1973 .

[57]  Hsi-Tien Chen,et al.  Implementing City Hotel Service Quality Enhancements: Integration of Kano and QFD Analytical Models , 2016 .

[58]  Zhang-peng Tian,et al.  Signed distance‐based ORESTE for multicriteria group decision‐making with multigranular unbalanced hesitant fuzzy linguistic information , 2018, Expert Syst. J. Knowl. Eng..

[59]  Francisco Herrera,et al.  Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions , 2018, Knowl. Based Syst..

[60]  Kwai-Sang Chin,et al.  Determining the importance ratings of customer requirements in quality function deployment based on interval linguistic information , 2018, Int. J. Prod. Res..

[61]  Richard Y. K. Fung,et al.  A group multi-granularity linguistic-based methodology for prioritizing engineering characteristics under uncertainties , 2016, Comput. Ind. Eng..

[62]  Sha Wang,et al.  Customer perceptions of critical success factors for guest houses , 2015 .

[63]  Zhen Zhang,et al.  Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

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

[65]  J. Rezaei,et al.  A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method , 2016 .

[66]  Zhang-peng Tian,et al.  Water security sustainability evaluation: Applying a multistage decision support framework in industrial region , 2018, Journal of Cleaner Production.

[67]  Xin Chen,et al.  Group decision making based on linguistic distributions and hesitant assessments: Maximizing the support degree with an accuracy constraint , 2018, Inf. Fusion.

[68]  Feng Wang,et al.  Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making , 2017, Eur. J. Oper. Res..

[69]  Yucheng Dong,et al.  The fusion process with heterogeneous preference structures in group decision making: A survey , 2015, Inf. Fusion.

[70]  Zhang-peng Tian,et al.  An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods , 2018, Appl. Soft Comput..

[71]  Zeshui Xu,et al.  Modeling complex linguistic expressions in qualitative decision making: An overview , 2018, Knowl. Based Syst..

[72]  Konstantin E. Samouylov,et al.  A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives , 2018, Appl. Soft Comput..

[73]  Jafar Rezaei,et al.  Quality assessment of airline baggage handling systems using SERVQUAL and BWM , 2018, Tourism Management.