| Issue |
RAIRO-Oper. Res.
Volume 55, Number 1, January-February 2021
Decision and Optimization in Service, Control and Engineering (CoDIT2019-DOSCE)
|
|
|---|---|---|
| Page(s) | 83 - 97 | |
| DOI | https://doi.org/10.1051/ro/2020116 | |
| Published online | 03 March 2021 | |
- M. Akbari, S. Molla-Alizadeh-Zavardehi, S. Niroomand and Meta-heuristic approaches for fixed-charge solid transportation problem in two-stage supply chain network. Oper. Res. 20 (2020) 447–471. [Google Scholar]
- F.J. Arroyo-Canada and J. Gil-Lafuente, A fuzzy asymmetric TOPSIS model for optimizing investment in online advertising campaigns. OR (2017) 1–16. [Google Scholar]
- M. Arslan and M. Çunkaş, Performance evaluation of sugar plants by fuzzy technique for order performance by similarity to ideal solution (TOPSIS). Cyber. Syst. 43 (2012) 529–548. [Google Scholar]
- I. Beg and T. Rashid, Modelling uncertainties in multi-criteria decision making using distance measure and TOPSIS for hesitant fuzzy sets. Arti. Intel Soft Comp. Res. 7 (2017) 103–109. [Google Scholar]
- D.Y. Chang, Applications of the extent analysis method on fuzzy AHP. Eur. J. Oper. Res. 95 (1996) 649–655. [Google Scholar]
- C.T. Chen, Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst. 114 (2000) 1–9. [Google Scholar]
- S.J. Chen and C.L. Hwang, Fuzzy Multiple Attribute Decision Making. Vol. 375 of Lecture Notes in Economics and Mathematical Systems. Springer, Berlin-Heidelberg (1992). [CrossRef] [Google Scholar]
- T.Y. Chou, C.L. Hsu and M.C. Chen, A fuzzy multi-criteria decision model for international tourist hotels location selection. Int. J. Hosp. Manag. 27 (2008) 293–301. [Google Scholar]
- D. Dalalah, M. Hayajneh and F. Batieha, A fuzzy multi-criteria decision making model for supplier selection. Expert Syst. Appl. 38 (2011) 8384–8391. [Google Scholar]
- D. Dubois and H. Prade, Fuzzy Sets and Systems: Theory and Application. Academic Press, New York, NY (1980). [Google Scholar]
- G. Dwivedi, R.K. Srivastava and S.K. Srivastava, A generalised fuzzy TOPSIS with improved closeness coefficient. Expert Syst. Appl. 96 (2018) 185–195. [Google Scholar]
- L. Fang and H. Li, Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming. RAIRO:OR 49 (2015) 753–772. [Google Scholar]
- A. Hadi-Vencheh and M.N. Mokhtarian, A new fuzzy MCDM approach based on centroid of fuzzy numbers. Expert Syst. Appl. 38 (2011) 5226–5230. [Google Scholar]
- S.H.R. Hajiagha, H.A. Mahdiraji, S.S. Hashemi and E.K. Zavadskas, Evolving a linear programming technique for MAGDM problems with interval valued intuitionistic fuzzy information. Expert Syst. Appl. 42 (2015) 9318–9325. [Google Scholar]
- H. Han and S. Trimi, A fuzzy TOPSIS method for performance evaluation of reverse logistics in social commerce platforms. Expert Syst. Appl. 103 (2018) 133–145. [Google Scholar]
- A. Hatami-Marbini and F. Kangi, An extension of fuzzy TOPSIS for a group decision making with an application to Tehran stock exchange. Appl. Soft Comp. 52 (2017) 1084–1097. [Google Scholar]
- C.L. Hwang and K. Yoon, Multiple Attribute Decision Making Methods and Applications A State-of-the-Art Survey. Vol. 186 of Lecture Notes in Economics and Mathematical Systems. Springer, Berlin-Heidelberg (1981). [CrossRef] [Google Scholar]
- G.R. Jahanshahloo, F. Hosseinzadeh Lotfi andM. Izadikhah, Extension of the TOPSIS method for decision-making problems with fuzzy data. Appl. Math. Comp. 181 (2006) 1544–1551. [Google Scholar]
- D. Joshi and S. Kumar, Improved accuracy function for interval-valued intuitionistic fuzzy sets and its application to multi-attributes group decision making. Cyber. Syst. 49 (2018) 64–76. [Google Scholar]
- M. Kabak, E. Köse, O. Krlmaz and S. Burmaoğlu, A fuzzy multi-criteria decision making approach to assess building energy performance. Ener. Build. 72 (2014) 382–389. [Google Scholar]
- A. Kauffman and M.M. Gupta, Introduction to Fuzzy Arithmetic: Theory and Application. Van Nostrand Reinhold, New York, NY (1991). [Google Scholar]
- H.A. Khalifa and Utilizing a new approach for solving fully fuzzy linear programming problems. C OR Rev. 10 (2019) 337–344. [Google Scholar]
- A. Kumar, J. Kaur and P. Singh, A new method for solving fully fuzzy linear programming problems. Appl. Math. Model. 35 (2011) 817–823. [Google Scholar]
- T.S. Liou and M.J.J. Wang, Ranking fuzzy numbers with integral value. Fuzzy Sets Syst. 50 (1992) 247–255. [Google Scholar]
- S. Ljubojević, D. Pamučar, D. Jovanović and V. Vešović, Outsourcing transport service: a fuzzy multi-criteria methodology for provider selection based on comparison of the real and ideal parameters of providers. Oper. Res. 1–35 (2017). [Google Scholar]
- J.C. López, P.A.Á. Carrillo, D.A.G. Chavira and J.J.S. Noriega, A web-based group decision support system for multicriteria ranking problems. Oper. Res. 17 (2017) 499–534. [Google Scholar]
- M.N. Mokhtarian and A. Hadi-Vencheh, A new fuzzy TOPSIS method based on left and right scores: an application for determining an industrial zone for dairy products factory. Appl. Soft Comp. 12 (2012) 2496–2505. [Google Scholar]
- M. Naili, A. Boubetra, A. Tari, Y. Bouguezza and A. Achroufene, Brain-inspired method for solving fuzzy multi-criteria decision making problems (BIFMCDM). Expert Syst. Appl. 42 (2015) 2173–2183. [Google Scholar]
- H.S. Najafi and S.A. Edalatpanah, A note on “A new method for solving fully fuzzy linear programming problems”. Appl. Math. Model. 37 (2013) 7865–7867. [Google Scholar]
- S. Niroomand, A. Mahmoodirad, A. Heydari, F. Kardani and A. Hadi-Vencheh, An extension principle based solution approach for shortest path problem with fuzzy arc lengths. Oper. Res. 17 (2017) 395–411. [Google Scholar]
- S. Niroomand, N. Mirzaei and A. Hadi-Vencheh, A simple mathematical programming model for countries’ credit ranking problem. Int. J. Finance Econ. 24 (2019) 449–460. [Google Scholar]
- E.Y. Peraei, H.R. Maleki and M. Mashinchi, A method for solving a fuzzy linear programming. K. J. Comp. Appl. Math. 8 (2001) 347–356. [Google Scholar]
- A. Ruiz-Padillo, D.P. Ruiz, A.J. Torija and Á. Ramos-Ridao, Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model. Envir. Impact Asse. Rev. 61 (2016) 8–18. [Google Scholar]
- S.A. Sadabadi, A. Hadi-Vencheh, A. Jamshidi and M. Jalali, A new index for TOPSIS based on relative distance to best and worst points. Int. J. Info. Tech. Decis. Making 19 (2020) 695–719. [Google Scholar]
- M. Tavana, M. Keramatpour, F.J. Santos-Arteaga and E. Ghorbaniane, A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Syst. Appl. 42 (2015) 8432–8444. [Google Scholar]
- Y.M. Wang and T. Elhag, Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Sys Appl. 31 (2006) 309–319. [Google Scholar]
- J.J. Wang, Y.Y. Jing, C.F. Zhang, G.H. Shi and X.T. Zhang, A fuzzy multi-criteria decision-making model for trigeneration system. Ener. Poli. 36 (2008) 3823–3832. [Google Scholar]
- P. Wanke, M.A.K. Azad, C.P. Barros and A. Hadi-Vencheh, Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach. Expert Syst. 33 (2016) 213–229. [Google Scholar]
- G. Wei, F.E. Alsaadi, T. Hayat and A. Alsaedi, A linear assignment method for multiple criteria decision analysis with hesitant fuzzy sets based on fuzzy measure. Int. J. Fuzzy Syst. 19 (2017) 607–614. [CrossRef] [Google Scholar]
- B. Yatsalo, A. Korobov and L. Martnez, Fuzzy multi-criteria acceptability analysis: a new approach to multi-criteria decision analysis under fuzzy environment. Expert Syst. Appl. 84 (2017) 262–271. [Google Scholar]
- D. Yong and L. Qi, A TOPSIS-based centroid-index ranking method of fuzzy numbers and its application in decision-making. Cybern. Syst. 36 (2007) 581–595. [Google Scholar]
- A. Yücel and A.F. Güneri, A weighted additive fuzzy programming approach for multi-criteria supplier selection. Expert Syst. Appl. 38 (2011) 6281–6286. [Google Scholar]
- L.A. Zadeh, Fuzzy sets. Inf. Cont. 8 (1965) 338–353. [Google Scholar]
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