Free Access
Issue
RAIRO-Oper. Res.
Volume 54, Number 1, January-February 2020
Page(s) 211 - 229
DOI https://doi.org/10.1051/ro/2019004
Published online 07 February 2020
  • K.T. Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets Syst. 21 (1986) 87–96. [CrossRef] [Google Scholar]
  • C.T. Chen, C.T. Lin and S.F. Huang, A fuzzy approach for supplier evaluation and selection in supply chain management. Int. J. Product. Econ. 102 (2006) 289–301. [CrossRef] [Google Scholar]
  • J. Chiang, Fuzzy linear programming based on statistical conidence interval and interval-valued fuzzy set. Eur. J. Oper. Res. 129 (2001) 65–86. [Google Scholar]
  • T. Cholewa and A. Siuta-Olcha, Long term experimental evaluation of the influence of heat cost allocators on energy consumption in a multifamily building. Energy Build. 104 (2015) 122–130. [Google Scholar]
  • T.H. Christensen, K. Gramhanssen, M.D. Bestwaldhober and A. Adjei, Energy retrofits of Danish homes: is the Energy Performance Certificate useful?. Build. Res. Inf. 42 (2014) 489–500. [CrossRef] [Google Scholar]
  • B.C. Cuong and V. Kreinovich, Picture fuzzy sets. J. Comput. Sci. Cybern. 30 (2014) 409–420. [Google Scholar]
  • P. D’Urso, R. Massari, L.D. Giovanni and C. Cappelli, Exponential distance-based fuzzy clustering for interval-valued data. Fuzzy Optim. Decis. Making 16 (2017) 51–70. [CrossRef] [Google Scholar]
  • M. Delgado, J.L. Verdegay and M.A. Vila, On aggregation operations of linguistic labels, Int. J. Intell. Syst. 8 (2010) 351–370. [CrossRef] [Google Scholar]
  • A. Emrouznejad and M. Marra, Ordered weighted averaging operators 1988–2014: a citation-based literature survey. Int. J. Intell. Syst. 29 (2015) 994–1014. [CrossRef] [Google Scholar]
  • M. Gilberto and V.W. Detlof, Cognitive and motivational biases in decision and risk analysis. Risk Anal. Official Publ. Soc. Risk Anal. 35 (2015) 1230–1251. [CrossRef] [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 Comput. 52 (2017) 1084–1097. [Google Scholar]
  • J. Hou, Y. Liu, Y. Wu, N. Zhou and W. Feng, Comparative study of commercial building energy-efficiency retrofit policies in four pilot cities in China. Energy Policy 88 (2016) 204–215. [Google Scholar]
  • A. Jafari and V. Valentin, An optimization framework for building energy retrofits decision-making. Build. Environ. 115 (2017) 118–129. [Google Scholar]
  • P. Ji, H.Y. Zhang and J.Q. Wang, A fuzzy decision support model with sentiment analysis for items comparison in e-commerce: the case study of PConline.com. IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (2019) 1993–2004. [CrossRef] [Google Scholar]
  • M. Krarti, Evaluation of large scale building energy efficiency retrofit program in Kuwait. Renew. Sust. Energy Rev. 50 (2015) 1069–1080. [CrossRef] [Google Scholar]
  • H.S. Le, Generalized picture distance measure and applications to picture fuzzy clustering. Appl. Soft Comput. 46 (2016) 284–295. [Google Scholar]
  • H.S. Le, Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures. Fuzzy Optim. Decis. Making 16 (2017) 359–378. [CrossRef] [Google Scholar]
  • J. Li and J.Q. Wang, An extended QUALIFLEX method under probability hesitant fuzzy environment for selecting green suppliers. Int. J. Fuzzy Syst. 19 (2017) 1866–1879. [CrossRef] [Google Scholar]
  • P. Liu and Y. Wang, Interval neutrosophic prioritized OWA operator and its application to multiple attribute decision making. J. Syst. Sci. Complexity 29 (2016) 681–697. [CrossRef] [Google Scholar]
  • M. Lu, G. Wei, F.E. Alsaadi, T. Hayat and A. Alsaedi, Hesitant pythagorean fuzzy hamacher aggregation operators and their application to multiple attribute decision making. J. Intell. Fuzzy Syst. 33 (2017) 1105–1117. [CrossRef] [Google Scholar]
  • A.J. Mcneil, The Laplace Distribution and generalizations: a revisit with applications to communications, economics, engineering, and finance. J. R. Stat. Soc. 97 (2001) 1210–1211. [Google Scholar]
  • E.A. Mohammed, C.T. Naugler and B.H. Far, Breast tumor classification using a new OWA operator. Expert Syst. App. 61 (2016) 302–313. [CrossRef] [Google Scholar]
  • G. Montibeller and D.V. Winterfeldt, Biases and debiasing in multi-criteria decision analysis. In: Hawaii International Conference on System Sciences (2015), 1218–1226. [Google Scholar]
  • R.X. Nie, J.Q. Wang and T.L. Wang, A hybrid outranking method for greenhouse gas emissions institution selection with picture 2-tuple linguistic information. Comput. Appl. Math. 37 (2018) 6676–6699. [CrossRef] [Google Scholar]
  • H.G. Peng and J.Q. Wang, Outranking decision-making method with Z-number cognitive information. Cognitive Comput. 10 (2018) 752–768. [CrossRef] [Google Scholar]
  • H.G. Peng, X.K. Wang, T.L. Wang and J.Q. Wang, Multi-criteria game model based on the pairwise comparisons of strategies with Z-numbers. Appl. Soft Comput. 74 (2019) 451–465. [Google Scholar]
  • H.G. Peng, H.Y. Zhang and J.Q. Wang, Probability multi-valued neutrosophic sets and its application in multi-criteria group decision-making problems. Neural Comput. App. 30 (2018) 563–583. [CrossRef] [Google Scholar]
  • O. Reimann, C. Schumacher and R. Vetschera, How well does the OWA operator represent real preferences? Eur. J. Oper. Res. 258 (2017) 993–1003. [Google Scholar]
  • G.I. Sayed, M.A. Ali, T. Gaber, A.E. Hassanien and V. Snasel, A hybrid segmentation approach based on Neutrosophic sets and modified watershed: a case of abdominal CT Liver parenchyma. In: Computer Engineering Conference (2016) 144–149. [Google Scholar]
  • G. Selvachandran, P.K. Maji, R.Q. Faisal and A.R. Salleh, Distance and distance induced intuitionistic entropy of generalized intuitionistic fuzzy soft sets. Appl. Intell. 47 (2017) 132–147. [CrossRef] [Google Scholar]
  • A.S. Solmaz, F.H. Halicioglu and S. Gunhan, An approach for making optimal decisions in building energy efficiency retrofit projects. Indoor Built Environ. 27 (2018) 348–368. [Google Scholar]
  • Z.P. Tian, J. Wang, J.Q. Wang and H.Y. Zhang, A likelihood-based qualitative flexible approach with hesitant fuzzy linguistic information. Cognitive Comput. 8 (2016) 670–683. [CrossRef] [Google Scholar]
  • Z.P. Tian, J. Wang, J.Q. Wang and H.Y. Zhang, Simplified neutrosophic linguistic multi-criteria group decision-making approach to green product development. Group Decis. Negotiation 26 (2017) 597–627. [CrossRef] [Google Scholar]
  • C. Wang, X. Zhou, H. Tu and S. Tao, Some geometric aggregation operators based on picture sets and their application in multiple attribute decision making. Ital. J. Pure Appl. Math. 37 (2017) 477–492. [Google Scholar]
  • J. Wang, J.Q. Wang, Z.P. Tian and D.Y. Zhao, A multi-hesitant fuzzy linguistic multi-criteria decision-making approach for logistics outsourcing with incomplete weight information. Int. Trans. Oper. Res. 25 (2018) 831–856. [Google Scholar]
  • J.C. Wang, C.Y. Tsao and T.Y. Chen, A likelihood-based QUALIFLEX method with interval type-2 fuzzy sets for multiple criteria decision analysis. Soft Comput. 19 (2015) 2225–2243. [Google Scholar]
  • L. Wang, J.J. Peng and J.Q. Wang, A multi-criteria decision-making framework for risk ranking of energy performance contracting project under picture fuzzy environment. J. Cleaner Product. 191 (2018) 105–118. [CrossRef] [Google Scholar]
  • L. Wang, H.Y. Zhang, J.Q. Wang and L. Li, Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project. Appl. Soft Comput. 64 (2018) 216–226. [Google Scholar]
  • X.K. Wang, J.Q. Wang and H.Y. Zhang, Distance-based multi-criteria group decision-making approach with probabilistic linguistic term sets. Expert Syst. 36 (2019) e12352. [CrossRef] [Google Scholar]
  • Y. Wang, J.Q. Wang and T.L. Wang, Fuzzy stochastic multi-criteria decision-making methods with interval neutrosophic probability based on regret theory. J. Intell. Fuzzy Syst. 35 (2018) 2309–2322. [CrossRef] [Google Scholar]
  • C. Wei, N. Zhao and X. Tang, Operators and comparisons of hesitant fuzzy linguistic term sets. IEEE Trans. Fuzzy Syst. 22 (2014) 575–585. [Google Scholar]
  • G. Wei, Interval valued hesitant fuzzy uncertain linguistic aggregation operators in multiple attribute decision making. Int. J. Mach. Learn. Cybern. 7 (2016) 1093–1114. [CrossRef] [Google Scholar]
  • G. Wei, Picture fuzzy cross-entropy for multiple attribute decision making problems. J. Bus. Econ. Manage. 17 (2016) 491–502. [CrossRef] [Google Scholar]
  • G. Wei, Picture fuzzy aggregation operators and their application to multiple attribute decision making. J. Intell. Fuzzy Syst. 33 (2017) 713–724. [CrossRef] [Google Scholar]
  • G. Wei, Picture 2-tuple linguistic Bonferroni mean operators and their application to multiple attribute decision making. Int. J. Fuzzy Syst. 19 (2017) 997–1010. [CrossRef] [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]
  • G. Wei, F.E. Alsaadi, T. Hayat and A. Alsaedi, Picture 2-tuple linguistic aggregation operators in multiple attribute decision making. Soft Comput. 22 (2018) 989–1002. [Google Scholar]
  • G. Wei, F.E. Alsaadi, T. Hayat and A. Alsaedi, Projection models for multiple attribute decision making with picture fuzzy information. Int. J. Mach. Learn. Cybern. 9 (2018) 713–719. [CrossRef] [Google Scholar]
  • G. Wei, M. Lu, F.E. Alsaadi, T. Hayat and A. Alsaedi, Pythagorean 2-tuple linguistic aggregation operators in multiple attribute decision making. J. Intell. Fuzzy Syst. 33 (2017) 1129–1142. [CrossRef] [Google Scholar]
  • J. Wu, A SD-IITFOWA operator and TOPSIS based approach for MAGDM problems with intuitionistic trapezoidal fuzzy numbers. Technol. Econ. Dev. Econ. 21 (2015) 28–47. [CrossRef] [Google Scholar]
  • Z. Wu, B. Wang and X. Xia, Large-scale building energy efficiency retrofit: concept, model and control. Energy 109 (2016) 456–465. [CrossRef] [Google Scholar]
  • S. Xian, J. Zhang and W. Xue, Fuzzy linguistic induced generalized OWA qperator and its application in fuzzy linguistic decision making. Int. J. Intell. Syst. 31 (2016) 749–762. [CrossRef] [Google Scholar]
  • P. Xu and E.H.W. Chan, ANP model for sustainable Building Energy Efficiency Retrofit (BEER): using Energy Performance Contracting (EPC) for hotel buildings in China. Habitat Int. 37 (2013) 104–112. [Google Scholar]
  • P. Xu, E.H.W. Chan, H.J. Visscher, X. Zhang and Z. Wu, Sustainable building energy efficiency retrofit for hotel buildings using EPC mechanism in China: analytic Network Process (ANP) approach. J. Cleaner Product. 107 (2015) 378–388. [CrossRef] [Google Scholar]
  • R.R. Yager, On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern. 18 (1988) 183–190. [Google Scholar]
  • S.M. Yu, J. Wang and J.Q. Wang, An extended TODIM approach with intuitionistic linguistic numbers. Int. Trans. Oper. Res. 25 (2018) 781–805. [Google Scholar]
  • L.A. Zadeh, Fuzzy sets. Inf. Control 8 (1965) 338–353. [CrossRef] [MathSciNet] [Google Scholar]
  • X.Y. Zhang, X.K. Wang, S.M. Yu, J.Q. Wang and T.L. Wang, Location selection of offshore wind power station by consensus decision framework using picture fuzzy modelling. J. Cleaner Product. 202 (2018) 980–992. [CrossRef] [Google Scholar]
  • W. Zhou, W. Huang and S.X. Zhou, Energy performance contracting in a competitive environment. Decis. Sci. 48 (2017) 723–765. [CrossRef] [Google Scholar]

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