陳亭羽 教授 (企業管理研究所博士班)

職稱：教授
信箱：tychen@mail.cgu.edu.tw
電話：03-2118800 # 5678
個人網頁：http://www.sedonaws.com/members/tychen/cv/
學歷：國立交通大學 交通運輸研究所博士
專長領域：模糊決策理論與方法、管理決策支援分析、多評準決策信息分析

工作經歷：

【2011/08～ 迄  今】長庚大學 企業管理研究所 教授
【2011/08～ 迄  今】長庚大學 工商管理學系 合聘教授
【2018/01～2020/12】長庚醫療財團法人林口長庚紀念醫院 護理部 合聘研究員
【2016/01～2017/12】長庚醫療財團法人林口長庚紀念醫院 神經內科系腦血管科 合聘研究員
【2014/08～2015/07】休假研究，研究機構：國立暨南國際大學資訊管理學系主題：「建立不確定環境下之e化智慧型決策支援系統」
【2010/08～2011/07】長庚大學 企業管理研究所 副教授
【2010/08～2011/07】長庚大學 工商管理學系 合聘副教授
【2001/08～2010/07】長庚大學 工商管理學系 副教授
【2003/07～2003/12】中央研究院資訊科學研究所訪問學者，專題研究名稱：「以資料探勘技術進行中醫領域之醫療知識發掘」
【2002/08～2003/07】長庚大學 企業管理研究所 碩士在職專班(EMBA)專班主任
【2002/01～2002/12】中華民國習慣領域學會 第四屆常務理事
【1998/08～2001/07】長庚大學 工商管理學系 助理教授

發表期刊論文：

Articles in SCI, SSCI, EI, and TSSCI Journals

  1. Ye, J., and Chen, T.-Y.* (2022), “Fabric selection based on sine trigonometric aggregation operators under Pythagorean fuzzy uncertainty,” Journal of Natural Fibers. (SCI, Rank: 4/26=15.38%, Q1, IF: 3.507) (accepted)
  2. Ye, J., and Chen, T.-Y.* (2022), “Pythagorean fuzzy sets combined with the PROMETHEE method for the selection of cotton woven fabric,” Journal of Natural Fibers. https://doi.org/10.1080/15440478.2022.2072993 (SCI, Rank: 4/26=15.38%, Q1, IF: 3.507) (Published online: 30 May 2022)
  3. Zhou, F., and Chen, T.-Y.* (2022), “A hybrid approach combining AHP with TODIM for blockchain technology provider selection under the Pythagorean fuzzy scenario,” Artificial Intelligence Review. https://dx.doi.org/10.1007/s10462-021-10128-7 (SCI, Rank: 17/144=11.81%, Q1, IF: 9.588) (Published online: 07 January 2022)
  4. Chen, T.-Y.* (2022), “A novel T-spherical fuzzy REGIME method for managing multiple-criteria choice analysis under uncertain circumstances,” Informatica. https://doi.org/10.15388/21-INFOR465 (SCI, Rank: 23/267=8.61%, Q1, IF: 3.429) (Published online: 25 November 2021)
  5. Ye, J., and Chen, T.-Y.* (2022), “Selection of cotton fabrics using Pythagorean fuzzy TOPSIS approach,” Journal of Natural Fibers. https://doi.org/10.1080/15440478.2021.1982439 (SCI, Rank: 4/26=15.38%, Q1, IF: 3.507) (Published online: 04 October 2021)
  6. Chen, T.-Y.* (2022), “A point operator-driven approach to decision-analytic modeling for multiple criteria evaluation problems involving uncertain information based on T-spherical fuzzy sets,” Expert Systems with Applications 203 (Oct.) Article ID 117559, 30 pages. https://doi.org/10.1016/j.eswa.2022.117559 (October) (SCI, Rank: 23/276=8.33%, Q1, IF: 8.665)
  7. Chen, T.-Y.* (2022), “Likelihood-based agreement measurements with Pythagorean fuzzy paired point operators to enrichment evaluations and priority determination for an uncertain decision-theoretical analysis,” Engineering Applications of Artificial Intelligence 113 (Aug.) Article ID 104912, 38 pages. https://doi.org/10.1016/j.engappai.2022.104912 (August) (SCI, Rank: 5/92=5.43%, Q1, IF: 7.802)
  8. Chen, T.-Y.* (2022), “Decision support modeling for multiple criteria assessments using a likelihood-based consensus ranking method under Pythagorean fuzzy uncertainty,” Artificial Intelligence Review 55 (Aug.) 4879–4939. https://dx.doi.org/10.1007/s10462-021-10122-z (August) (SCI, Rank: 17/144=11.81%, Q1, IF: 9.588)
  9. Tsao, C.-Y., and Chen, T.-Y.* (2022), “A parametric likelihood measure with beta distributions for Pythagorean fuzzy decision-making,” Neural Computing & Applications 34 (17) 13757–13806. https://dx.doi.org/10.1007/s00521-022-07151-2 (August) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  10. Chen, T.-Y.* (2022), “Multiple criteria choice modeling using the grounds of T-spherical fuzzy REGIME analysis,” International Journal of Intelligent Systems 37 (3) 1972-2011. https://dx.doi.org/10.1002/int.22762 (March) (SCI, Rank: 20/144=13.89%, Q1, IF: 8.993)
  11. Zhou, F., and Chen, T.-Y.* (2021), “An extended Pythagorean fuzzy VIKOR method with risk preference and a novel generalized distance measure for multicriteria decision-making problems,” Neural Computing & Applications 33 (18) 11821–11844. https://doi.org/10.1007/s00521-021-05829-7 (September) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  12. Wang, J.-C., and Chen, T.-Y.* (2021), “A T-spherical fuzzy ELECTRE approach for multiple criteria assessment problem from a comparative perspective of score functions,” Journal of Intelligent & Fuzzy Systems 41 (2) 3751–3770. https://doi.org/10.3233/JIFS-211431 (September) (SCI, Rank: 112/144=77.78%, Q4, IF: 1.737)
  13. Chen, T.-Y.* (2021), “A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts,” Expert Systems with Applications 176 (Aug.) Article ID 114881, 32 pages. https://doi.org/10.1016/j.eswa.2021.114881 (August) (SCI, Rank: 23/276=8.33%, Q1, IF: 8.665)
  14. Chen, T.-Y.* (2021), “Approach-oriented and avoidance-oriented measures under complex Pythagorean fuzzy information and an area-based model to multiple criteria decision-aiding systems,” Journal of Intelligent & Fuzzy Systems 40 (6) 12195–12213. https://doi.org/10.3233/JIFS-210290 (June) (SCI, Rank: 112/144=77.78%, Q4, IF: 1.737)
  15. Tsao, C.-Y., and Chen, T.-Y.* (2021), “Pythagorean fuzzy likelihood function based on beta distributions and its based dominance ordering model in an uncertain multiple criteria decision support framework,” International Journal of Intelligent Systems 36 (6) 2680–2729. https://doi.org/10.1002/int.22398 (June) (SCI, Rank: 20/144=13.89%, Q1, IF: 8.993)
  16. Chen, T.-Y.* (2021), “The likelihood-based optimization ordering model for multiple criteria group decision making with Pythagorean fuzzy uncertainty,” Neural Computing & Applications 33 (10) 4865–4900. https://doi.org/10.1007/s00521-020-05278-8 (May) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  17. Chen, T.-Y.* (2021), “Pythagorean fuzzy linear programming technique for multidimensional analysis of preference using a squared-distance-based approach for multiple criteria decision analysis,” Expert Systems with Applications 164 (Feb.) Article ID 113908, 31 pages. https://doi.org/10.1016/j.eswa.2020.113908 (February) (SCI, Rank: 23/276=8.33%, Q1, IF: 8.665)
  18. Zhou, F., and Chen, T.-Y.* (2020), “An integrated multicriteria group decision-making approach for green supplier selection under Pythagorean fuzzy scenarios,” IEEE Access 8 (Sep.) 165216–165231. https://doi.org/10.1109/ACCESS.2020.3022377 (September) (SCI, Rank: 105/276=38.04%, Q2, IF: 3.476)
  19. Zhou, F., and Chen, T.-Y.* (2020), “Multiple criteria group decision analysis using a Pythagorean fuzzy programming model for multidimensional analysis of preference based on novel distance measures,” Computers & Industrial Engineering 148 (Oct.) Article ID 106670, 19 pages. https://doi.org/10.1016/j.cie.2020.106670 (October) (SCI, Rank: 19/113=16.81%, Q1, IF: 7.180)
  20. Chen, T.-Y.* (2020), “New Chebyshev distance measures for Pythagorean fuzzy sets with applications to multiple criteria decision analysis using an extended ELECTRE approach,” Expert Systems with Applications 147 (Jun.) Article ID 113164, 31 pages. https://doi.org/10.1016/j.eswa.2019.113164 (June) (SCI, Rank: 23/276=8.33%, Q1, IF: 8.665)
  21. Ho, L.-H., Lin, Y.-L., and Chen, T.-Y.* (2020), “A Pearson-like correlation-based TOPSIS method with interval-valued Pythagorean fuzzy uncertainty and its application to multiple criteria decision analysis of stroke rehabilitation treatments,” Neural Computing & Applications 32 (12) 8265–8295. https://doi.org/10.1007/s00521-019-04304-8 (June) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  22. Wang, J.-C., and Chen, T.-Y.* (2020), “A novel Pythagorean fuzzy LINMAP-based compromising approach for multiple criteria group decision-making with preference over alternatives,” International Journal of Computational Intelligence Systems 13 (1) 444–463. https://doi.org/10.2991/ijcis.d.200408.001 (April) (SCI, Rank: 79/113=69.91%, Q3, IF: 2.259)
  23. Chen, T.-Y.* (2019), “Multiple criteria group decision making using a parametric linear programming technique for multidimensional analysis of preference under uncertainty of Pythagorean fuzziness,” IEEE Access 7 (1) 174108–174128. https://doi.org/10.1109/ACCESS.2019.2957161 (December) (SCI, Rank: 105/276=38.04%, Q2, IF: 3.476)
  24. Chen, T.-Y.* (2019), “A novel PROMETHEE-based method using a Pythagorean fuzzy combinative distance-based precedence approach to multiple criteria decision making,” Applied Soft Computing 82 (Sep.) Article ID 105560, 27 pages. https://doi.org/10.1016/j.asoc.2019.105560 (September) (SCI, Rank: 11/113=9.73%, Q1, IF: 8.263)
  25. Zhou, F., and Chen, T.-Y.* (2019), “A novel distance measure for Pythagorean fuzzy sets and its applications to the technique for order preference by similarity to ideal solutions,” International Journal of Computational Intelligence Systems 12 (2) 955–969. https://doi.org/10.2991/ijcis.d.190820.001 (September) (SCI, Rank: 79/113=69.91%, Q3, IF: 2.259)
  26. Chen, T.-Y.* (2019), “A novel VIKOR method with an application to multiple criteria decision analysis for hospital-based post-acute care within a highly complex uncertain environment,” Neural Computing & Applications 31 (8) 3969–3999. https://doi.org/10.1007/s00521-017-3326-8 (August) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  27. Chen, T.-Y.* (2019), “Novel generalized distance measure of Pythagorean fuzzy sets and a compromise approach for multiple criteria decision analysis under uncertainty,” IEEE Access 7 (1) 58168–58185. https://doi.org/10.1109/ACCESS.2019.2914703 (May) (SCI, Rank: 105/276=38.04%, Q2, IF: 3.476)
  28. Lin, Y.-L., Ho, L.-H., Yeh, S.-L., and Chen, T.-Y.* (2019), “A Pythagorean fuzzy TOPSIS method based on novel correlation measures and its application to multiple criteria decision analysis of inpatient stroke rehabilitation,” International Journal of Computational Intelligence Systems 12 (1) 410–425. https://doi.org/10.2991/ijcis.2018.125905657 (March) (SCI, Rank: 79/113=69.91%, Q3, IF: 2.259)
  29. Chen, T.-Y.* (2019), “Multiple criteria decision analysis under complex uncertainty: a Pearson-like correlation-based Pythagorean fuzzy compromise approach,” International Journal of Intelligent Systems 34 (1) 114–151. https://doi.org/10.1002/int.22045 (January) (SCI, Rank: 20/144=13.89%, Q1, IF: 8.993)
  30. Chen, T.-Y.* (2018), “A mixed-choice-strategy-based consensus ranking method for multiple criteria decision analysis involving Pythagorean fuzzy information,” IEEE Access 6 (1) 79174–79199. https://doi.org/10.1109/ACCESS.2018.2884895 (December) (SCI, Rank: 105/276=38.04%, Q2, IF: 3.476)
  31. Chen, T.-Y.* (2018), “A novel PROMETHEE-based outranking approach for multiple criteria decision analysis with Pythagorean fuzzy information,” IEEE Access 6 (1) 54495–54506. https://doi.org/10.1109/ACCESS.2018.2869137 (December) (SCI, Rank: 105/276=38.04%, Q2, IF: 3.476)
  32. Chen, T.-Y.* (2018), “An interval-valued Pythagorean fuzzy compromise approach with correlation-based closeness indices for multiple-criteria decision analysis of bridge construction methods,” Complexity 2018 (Nov.) Article ID 6463039, 29 pages. https://doi.org/10.1155/2018/6463039 (November) (SCI, Rank: 49/108=45.37%, Q2, IF: 2.121)
  33. Chen, T.-Y.* (2018), “An outranking approach using a risk attitudinal assignment model involving Pythagorean fuzzy information and its application to financial decision making,” Applied Soft Computing 71 (Oct.) 460–487. https://doi.org/10.1016/j.asoc.2018.06.036 (October) (SCI, Rank: 11/113=9.73%, Q1, IF: 8.263)
  34. Chen, T.-Y.* (2018), “An effective correlation-based compromise approach for multiple criteria decision analysis with Pythagorean fuzzy information,” Journal of Intelligent & Fuzzy Systems 35 (3) 3529–3541. https://doi.org/10.3233/JIFS-18021 (October) (SCI, Rank: 112/144=77.78%, Q4, IF: 1.737)
  35. Wang, J.-C., and Chen, T.-Y.* (2018), “Multiple criteria decision analysis using correlation-based precedence indices within Pythagorean fuzzy uncertain environments,” International Journal of Computational Intelligence Systems 11 (1) 911–924. https://doi.org/10.2991/ijcis.11.1.69 (May) (SCI, Rank: 79/113=69.91%, Q3, IF: 2.259)
  36. Chen, T.-Y.* (2018), “Remoteness index-based Pythagorean fuzzy VIKOR methods with a generalized distance measure for multiple criteria decision analysis,” Information Fusion 41 (May) 129–150. https://doi.org/10.1016/j.inffus.2017.09.003 (May) (SCI, Rank: 1/109=0.92%, Q1, IF: 17.564)
  37. Chen, T.-Y.* (2018), “A novel risk evaluation method of technological innovation using an inferior ratio-based assignment model in the face of complex uncertainty,” Expert Systems with Applications 95 (Apr.) 333–350. https://doi.org/10.1016/j.eswa.2017.11.038 (April) (SCI, Rank: 23/276=8.33%, Q1, IF: 8.665)
  38. Chen, T.-Y.* (2018), “An interval-valued Pythagorean fuzzy outranking method with a closeness-based assignment model for multiple criteria decision making,” International Journal of Intelligent Systems 33 (1) 126–168. https://doi.org/10.1002/int.21943 (January) (SCI, Rank: 20/144=13.89%, Q1, IF: 8.993)
  39. Chen, T.-Y.* (2017), “A likelihood-based assignment method for multiple criteria decision analysis with interval type-2 fuzzy information,” Neural Computing & Applications 28 (12) 4023–4045. https://doi.org/10.1007/s00521-016-2288-6 (December) (SCI, Rank: 45/144=31.25%, Q2, IF: 5.102)
  40. Chen, T.-Y.* (2017), “Multiple criteria decision analysis using prioritised interval type-2 fuzzy aggregation operators and its application to site selection,” Technological and Economic Development of Economy 23 (1) 1–21. https://doi.org/10.3846/20294913.2016.1209249 (January) (SSCI, Rank: 43/379=11.35%, Q1, IF: 5.656)
  41. Tsao, C.-Y., and Chen, T.-Y.* (2016), “A projection-based compromising method for multiple criteria decision analysis with interval-valued intuitionistic fuzzy information,” Applied Soft Computing 45 (Aug.) 207–223. https://doi.org/10.1016/j.asoc.2016.04.016 (August) (SCI, Rank: 11/113=9.73%, Q1, IF: 8.263)
  42. Chen, T.-Y.* (2016), “An IVIF-ELECTRE outranking method for multiple criteria decision-making with interval-valued intuitionistic fuzzy sets,” Technological and Economic Development of Economy 22 (3) 416–452. https://doi.org/10.3846/20294913.2015.1072751 (May) (SSCI, Rank: 43/379=11.35%, Q1, IF: 5.656)
  43. Chen, T.-Y.* (2016), “An inclusion comparison approach for multiple criteria decision analysis based on interval-valued intuitionistic fuzzy sets,” Technological and Economic Development of Economy 22 (3) 357–392. https://doi.org/10.3846/20294913.2014.989930 (May) (SSCI, Rank: 43/379=11.35%, Q1, IF: 5.656)
  44. Chen, T.-Y.* (2016), “An interval-valued intuitionistic fuzzy permutation method with likelihood-based preference functions and its application to multiple criteria decision analysis,” Applied Soft Computing 42 (May) 390–409. https://doi.org/10.1016/j.asoc.2016.02.006 (May) (SCI, Rank: 11/113=9.73%, Q1, IF: 8.263)
  45. Wang, J.-C., and Chen, T.-Y.* (2015), “Likelihood-based assignment methods for multiple criteria decision analysis based on interval-valued intuitionistic fuzzy sets,” Fuzzy Optimization and Decision Making 14 (4) 425–457. https://doi.org/10.1007/s10700-015-9208-6 (December) (SCI, Rank: 19/87=21.84%, Q1, IF: 5.274)
  46. Wang, J.-C., and Chen, T.-Y.* (2015), “A simulated annealing-based permutation method and experimental analysis for multiple criteria decision analysis with interval type-2 fuzzy sets,” Applied Soft Computing 36 (Nov.) 57–69. https://doi.org/10.1016/j.asoc.2015.07.011 (November) (SCI, Rank: 11/113=9.73%, Q1, IF: 8.263)
  47. Wang, J.-C., Tsao, C.-Y., and Chen, T.-Y.* (2015), “A likelihood-based QUALIFLEX method with interval type-2 fuzzy sets for multiple criteria decision analysis,” Soft Computing 19 (8) 2225–2243. https://doi.org/10.1007/s00500-014-1404-8 (August) (SCI, Rank: 65/144=45.14%, Q2, IF: 3.732)
  48. Wang, J.-C., and Chen, T.-Y.* (2015), “An interval type-2 fuzzy permutation method and experimental analysis for multiple criteria decision analysis with incomplete preference information,” Journal of Industrial and Production Engineering 32 (5) 298–310. https://doi.org/10.1080/21681015.2015.1064483 (August) (SCI, Rank: 46/63=73.02%, Q3, IF: 0.38)
  49. Chen, T.-Y.* (2015), “IVIF-PROMETHEE outranking methods for multiple criteria decision analysis based on interval-valued intuitionistic fuzzy sets,” Fuzzy Optimization and Decision Making 14 (2) 173–198. https://doi.org/10.1007/s10700-014-9195-z (June) (SCI, Rank: 19/87=21.84%, Q1, IF: 5.274)
  50. Chen, T.-Y.* (2015), “An interval type-2 fuzzy LINMAP method with approximate ideal solutions for multiple criteria decision analysis,” Information Sciences 297 (Mar.) 50–79. https://doi.org/10.1016/j.ins.2014.10.054 (March) (SCI, Rank: 16/164=9.76%, Q1, IF: 8.233)
  51. Chen, T.-Y.* (2015), “An interval type-2 fuzzy PROMETHEE method using a likelihood-based outranking comparison approach,” Information Fusion 25 (Mar.) 105–120. https://doi.org/10.1016/j.inffus.2014.10.002 (March) (SCI, Rank: 1/109=0.92%, Q1, IF: 17.564)
  52. Chen, T.-Y.* (2015), “An interval type-2 fuzzy technique for order preference by similarity to ideal solutions using a likelihood-based comparison app
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