Evaluation of Nursing Homes Using a Novel PROMETHEE Method for Probabilistic Linguistic Term Sets

Aging has become a serious social problem in China. Traditional informal long-term care is hard to sustain because of the reduction in family size and elders’ children migration to big cities. The institution offering services for the disabled elders has been a tendency. There exists a strange phenomenon: some nursing homes are difficult to enter for most disabled elders, while the other ones must search for elders to maintain operation. Therefore, for the evaluation of nursing homes, two problems should be considered: (1) selecting suitable nursing homes for disabled elders; (2) obtaining the key factors influencing the selection of elders and helping nursing homes improve their services based on the key factors. First, we propose a new DEMATEL (Decision-Making Trial and Evaluation Laboratory) method for PLTSs to solve the second problem. Then, we present a novel PROMETHEE (Preference Ranking Organization Methods for Enrichment Evaluations) method to rank the alternatives and make a sensitivity analysis for criteria. Finally, we illustrate our proposed methods to an evaluation problem in Zhenjiang City by a case study. Based on the case study, we can obtain that our proposed methods are effective and practicable.

[1]  Zeshui Xu,et al.  Probabilistic linguistic term sets in multi-attribute group decision making , 2016, Inf. Sci..

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

[3]  V. Torra.  The weighted OWA operator , 1997, International Journal of Intelligent Systems.

[4]  Jian-Bo Yang,et al.  Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean , 2009, Expert Syst. Appl..

[5]  Hing Kai Chan,et al.  Exploring critical factors of green business failure based on Grey-Decision Making Trial and Evaluation Laboratory (DEMATEL) , 2019, Journal of Business Research.

[6]  J. Dartigues,et al.  Do partners of severely disabled elderly protect against nursing home entry? Evidence from a French cohort , 2020 .

[7]  Cuiping Wei,et al.  Factor relation analysis for sustainable recycling partner evaluation using probabilistic linguistic DEMATEL , 2020, Fuzzy Optim. Decis. Mak..

[8]  Zeshui Xu,et al.  Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR , 2020, Inf. Sci..

[9]  Y. De Smet,et al.  An alternative weight sensitivity analysis for PROMETHEE II rankings , 2017, Omega.

[10]  Peng Li,et al.  A Novel Multi-Period Two-Sided Matching Method on Solving Long-Term Care Problem for Disabled Elders With Probabilistic Linguistic Information , 2020, IEEE Access.

[11]  Jens Leker,et al.  Analyzing the impact of industry sectors on the composition of business ecosystem: A combined approach using ARM and DEMATEL , 2018, Expert Syst. Appl..

[12]  P. Zhou,et al.  Analyzing barriers of Smart Energy City in Accra with two-step fuzzy DEMATEL , 2019, Cities.

[13]  Norma B Coe,et al.  Caring for mom and neglecting yourself? The health effects of caring for an elderly parent. , 2009, Health economics.

[14]  Ying-Ming Wang,et al.  A minimax disparity approach for obtaining OWA operator weights , 2005, Inf. Sci..

[15]  Ping-Feng Pai,et al.  Sustainable supply chain management using approximate fuzzy DEMATEL method , 2018 .

[16]  Cuiping Wei,et al.  Evaluation of poverty-stricken families in rural areas using a novel case-based reasoning method for probabilistic linguistic term sets , 2020, Comput. Ind. Eng..

[17]  Jiunn-I Shieh,et al.  A DEMATEL method in identifying key success factors of hospital service quality , 2010, Knowl. Based Syst..

[18]  Goran Ćirović,et al.  New multi-criteria LNN WASPAS model for evaluating the work of advisors in the transport of hazardous goods , 2019, Neural Computing and Applications.

[19]  Huchang Liao,et al.  Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method , 2019, Appl. Soft Comput..

[20]  Peng Li,et al.  An emergency decision-making method based on D-S evidence theory for probabilistic linguistic term sets , 2019, International Journal of Disaster Risk Reduction.

[21]  Zeshui Xu,et al.  Clustering algorithms based on correlation coefficients for probabilistic linguistic term sets , 2018, Int. J. Intell. Syst..

[22]  Xu Wang,et al.  Sustainable recycling partner selection using fuzzy DEMATEL-AEW-FVIKOR: A case study in small-and-medium enterprises (SMEs) , 2018, Journal of Cleaner Production.

[23]  Bertrand Mareschal,et al.  Weight stability intervals in multicriteria decision aid , 1988 .

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

[25]  Axel Heitmueller.  The Chicken or the Egg? Endogeneity in Labour Market Participation of Informal Carers in England , 2004, Journal of health economics.

[26]  Haijing Dai,et al.  Determining the primary caregiver for disabled older adults in Mainland China: spouse priority and living arrangements , 2019 .

[27]  Dong Wei,et al.  What are the key barriers for the further development of shale gas in China? A grey-DEMATEL approach , 2019, Energy Reports.

[28]  Zeshui Xu,et al.  ELECTRE II method to deal with probabilistic linguistic term sets and its application to edge computing , 2019, Nonlinear Dynamics.

[29]  Romualdas Bausys,et al.  Safety evaluation methodology of urban public parks by multi-criteria decision making , 2019, Landscape and Urban Planning.

[30]  Riqing Chen,et al.  Evaluating IoT Platforms Using Integrated Probabilistic Linguistic MCDM Method , 2020, IEEE Internet of Things Journal.