New hybrid AHP-QFD-PROMETHEE decision-making support method in the hesitant fuzzy environment: an application in packaging design selection

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.

[1]  Yang Wang,et al.  Social sustainability assessment of small hydropower with hesitant PROMETHEE method , 2017 .

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

[3]  Adel Hatami-Marbini,et al.  A fuzzy group Electre method for safety and health assessment in hazardous waste recycling facilities , 2013 .

[4]  E. Roghanian,et al.  A fuzzy model for achieving lean attributes for competitive advantages development using AHP-QFD-PROMETHEE , 2014 .

[5]  Zeshui Xu,et al.  Analytic hierarchy process-hesitant group decision making , 2014, Eur. J. Oper. Res..

[6]  Andrzej Kraslawski,et al.  Concurrent engineering : robust design in fuzzy environment , 1993 .

[7]  Jun Wang,et al.  A new MCDM method combining QFD with TOPSIS for knowledge management system selection from the user's perspective in intuitionistic fuzzy environment , 2014, Appl. Soft Comput..

[8]  Francisco Herrera,et al.  Hesitant Fuzzy Sets: State of the Art and Future Directions , 2014, Int. J. Intell. Syst..

[9]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[10]  Chuen-Jyh Chen,et al.  A model integrating fuzzy AHP with QFD for assessing technical factors in aviation safety , 2014, Int. J. Mach. Learn. Cybern..

[11]  Luis Martínez-López,et al.  Some Views on Information Fusion and Logic Based Approaches in Decision Making under Uncertainty , 2010, J. Univers. Comput. Sci..

[12]  Xu Ying,et al.  A New Method Combining QFD with Intuitionistic Fuzzy Sets for Web Services Selection , 2016, MUE 2016.

[13]  Gülçin Büyüközkan,et al.  A novel renewable energy selection model for United Nations' sustainable development goals , 2018, Energy.

[14]  Yongchuan Tang,et al.  Linguistic modelling based on semantic similarity relation among linguistic labels , 2006, Fuzzy Sets Syst..

[15]  Daniel Castro-Lacouture,et al.  Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach , 2009 .

[16]  Michael A. Mullens,et al.  AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD: AN INDUSTRIALIZED HOUSING APPLICATION , 1994 .

[17]  Basar Öztaysi,et al.  In-store behavioral analytics technology selection using fuzzy decision making , 2018, J. Enterp. Inf. Manag..

[18]  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..

[19]  Luis G. Vargas,et al.  Uncertainty and rank order in the analytic hierarchy process , 1987 .

[20]  A. Hatami-Marbini,et al.  An Extension of the Electre I Method for Group Decision-Making Under a Fuzzy Environment , 2011 .

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

[22]  Alessio Ishizaka,et al.  Review of the main developments in the analytic hierarchy process , 2011, Expert Syst. Appl..

[23]  Paulo Augusto Cauchick Miguel,et al.  Review, analysis and classification of the literature on QFD—Types of research, difficulties and benefits , 2008 .

[24]  Jean Pierre Brans,et al.  HOW TO SELECT AND HOW TO RANK PROJECTS: THE PROMETHEE METHOD , 1986 .

[25]  Cengiz Kahraman,et al.  Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model , 2015, Expert Syst. Appl..

[26]  Ahmad Makui,et al.  An Extended Fuzzy PROMETHEE based on Fuzzy Rule based System for Supplier Selection Problem , 2015 .

[27]  Mei Hong,et al.  Hesitant analytic hierarchy process , 2016, Eur. J. Oper. Res..

[28]  Ian N. Durbach,et al.  Using expected values to simplify decision making under uncertainty , 2009 .

[29]  Arunodaya Raj Mishra,et al.  Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets , 2018, Granular Computing.

[30]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[31]  Zeshui Xu,et al.  Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets , 2015, Knowl. Based Syst..

[32]  Ali Emrouznejad,et al.  Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach , 2012, Expert Syst. Appl..

[33]  Xiaojun Yang,et al.  Representation of The Pairwise Comparisons in AHP Using Hesitant Cloud Linguistic Term Sets , 2016, Fundam. Informaticae.

[34]  Mei Hong,et al.  Generalized analytic network process , 2015, Eur. J. Oper. Res..

[35]  Zeshui Xu,et al.  Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making , 2015, Expert Syst. Appl..

[36]  Mark Goh,et al.  Fuzzy PROMETHEE GDSS for technical requirements ranking in HOQ , 2015 .

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

[38]  Nian Zhang.  Hesitant fuzzy linguistic information aggregation in decision making , 2014 .

[39]  Luis Martínez-López,et al.  Balanced scorecard-based analysis about European energy investment policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment , 2019, Expert Syst. Appl..

[40]  John A. Keane,et al.  Contribution of individual judgments toward inconsistency in pairwise comparisons , 2015, Eur. J. Oper. Res..

[41]  C K Kwong,et al.  Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach , 2003 .

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

[43]  Zeshui Xu,et al.  Distance and similarity measures for hesitant fuzzy sets , 2011, Inf. Sci..

[44]  Zeshui Xu,et al.  Assessments of the Effectiveness of an Earthquake Emergency Plan Implementation with Hesitant Analytic Hierarchy Process , 2016, Int. J. Inf. Technol. Decis. Mak..

[45]  Gülçin Büyüközkan,et al.  A new hesitant fuzzy QFD approach: An application to computer workstation selection , 2016, Appl. Soft Comput..

[46]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[47]  Jun Dong,et al.  Competition ability evaluation of power generation enterprises using a hybrid MCDM method under fuzzy and hesitant linguistic environment , 2018, Journal of Renewable and Sustainable Energy.

[48]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

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

[50]  Hong-yu Zhang,et al.  Projection-Based PROMETHEE Methods Based on Hesitant Fuzzy Linguistic Term Sets , 2017, International Journal of Fuzzy Systems.

[51]  Chih-Hsuan Wang,et al.  Incorporating the concept of systematic innovation into quality function deployment for developing multi-functional smart phones , 2017, Comput. Ind. Eng..

[52]  Francisco Herrera,et al.  Hesitant Fuzzy Linguistic Term Sets for Decision Making , 2012, IEEE Transactions on Fuzzy Systems.

[53]  Konrad Kulakowski,et al.  Notes on order preservation and consistency in AHP , 2013, Eur. J. Oper. Res..

[54]  J. S. Yadav.  OPTIMIZATION OF PRODUCT CHARACTERISTICS IN QFD USING OPTIMIZATION TECHNIQUES: A COMPARATIVE STUDY , 2017 .

[55]  Ilya Ivlev,et al.  Multi-criteria decision analysis for supporting the selection of medical devices under uncertainty , 2015, Eur. J. Oper. Res..

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

[57]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[58]  Núria Agell,et al.  Ranking multi-attribute alternatives on the basis of linguistic labels in group decisions , 2012, Inf. Sci..

[59]  Shih-Yuan Wang.  Constructing the complete linguistic-based and gap-oriented quality function deployment , 2010, Expert Syst. Appl..

[60]  Vicenç Torra,et al.  Hesitant fuzzy sets , 2010, Int. J. Intell. Syst..

[61]  E. Adalı,et al.  An alternative approach based on Fuzzy PROMETHEE method for the supplier selection problem , 2016 .

[62]  Hongbin Liu,et al.  A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making , 2014, Inf. Sci..

[63]  Hu-Chen Liu,et al.  A New Method for Quality Function Deployment With Extended Prospect Theory Under Hesitant Linguistic Environment , 2021, IEEE Transactions on Engineering Management.