Intuitionistic fuzzy MULTIMOORA approach for multi-criteria assessment of the energy storage technologies
暂无分享,去创建一个
Chao Chen | Chonghui Zhang | Dalia Streimikiene | Tomas Balezentis | D. Štreimikienė | T. Baležentis | Chonghui Zhang | Chao Chen
[1] Francisco Herrera,et al. Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures , 2017, Inf. Fusion.
[2] Chuntian Cheng,et al. Optimization of large-scale hydropower system peak operation with hybrid dynamic programming and domain knowledge , 2018 .
[3] Davide Aloini,et al. A peer IF-TOPSIS based decision support system for packaging machine selection , 2014, Expert Syst. Appl..
[4] Tianshou Zhao,et al. Improved electrolyte for zinc-bromine flow batteries , 2018 .
[5] Linhai Wu,et al. Determinants of workers’ attitude toward low-carbon technology adoption: empirical evidence from Chinese firms , 2017 .
[6] Malin Song,et al. Environmental efficiency and economic growth of China: A Ray slack-based model analysis , 2017, Eur. J. Oper. Res..
[7] Shyi-Ming Chen,et al. Handling multicriteria fuzzy decision-making problems based on vague set theory , 1994 .
[8] E. Zavadskas,et al. Optimization of Weighted Aggregated Sum Product Assessment , 2012 .
[9] Jian Guo,et al. Hybrid Multiattribute Group Decision Making Based on Intuitionistic Fuzzy Information and GRA Method , 2013 .
[10] Shu-Ping Wan,et al. The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers , 2013, Knowl. Based Syst..
[11] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[12] Zhongliang Yue,et al. TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting , 2014, Inf. Sci..
[13] Hamidreza Zareipour,et al. Energy storage for mitigating the variability of renewable electricity sources: An updated review , 2010 .
[14] Xiaohong Chen,et al. Multi-criteria group decision making based on trapezoidal intuitionistic fuzzy information , 2015, Appl. Soft Comput..
[15] Kavita Devi,et al. Extension of VIKOR method in intuitionistic fuzzy environment for robot selection , 2011, Expert Syst. Appl..
[16] Michael Sony,et al. A qualitative study on electricity energy-saving behaviour , 2018, Management of Environmental Quality: An International Journal.
[17] Madjid Tavana,et al. An extended stochastic VIKOR model with decision maker's attitude towards risk , 2018, Inf. Sci..
[18] Mohammad T. Arif,et al. Solar Thermal Energy with Molten-salt Storage for Residential Heating Application ☆ , 2017 .
[19] Zhang-peng Tian,et al. An improved MULTIMOORA approach for multi-criteria decision-making based on interdependent inputs of simplified neutrosophic linguistic information , 2017, Neural Computing and Applications.
[20] Ali Jahan,et al. Selection of optimum design for conical segmented aluminum tubes as energy absorbers: Application of MULTIMOORA method , 2017 .
[21] Chuntian Cheng,et al. Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling , 2017 .
[22] Haisheng Chen,et al. Progress in electrical energy storage system: A critical review , 2009 .
[23] Janusz Kacprzyk,et al. Entropy for intuitionistic fuzzy sets , 2001, Fuzzy Sets Syst..
[24] Dejian Yu,et al. Intuitionistic fuzzy information aggregation under confidence levels , 2014, Appl. Soft Comput..
[25] Jih-Jeng Huang,et al. Generalized DEMATEL technique with centrality measurements , 2017 .
[26] Gwo-Hshiung Tzeng,et al. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..
[27] Davide Aloini,et al. Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector , 2017, Technological Forecasting and Social Change.
[28] Zhong-kai Feng,et al. Scheduling of short-term hydrothermal energy system by parallel multi-objective differential evolution , 2017, Appl. Soft Comput..
[29] Gülçin Büyüközkan,et al. An extension of ARAS methodology under Interval Valued Intuitionistic Fuzzy environment for Digital Supply Chain , 2018, Appl. Soft Comput..
[30] Yağmur Karabulut,et al. A new group decision making approach with IF AHP and IF VIKOR for selecting hazardous waste carriers , 2019, Measurement.
[31] Mohammad Khalilzadeh,et al. Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy , 2018 .
[32] Fatih Ecer,et al. Third-party logistics (3Pls) provider selection via Fuzzy AHP and EDAS integrated model , 2017 .
[33] Luciane Neves Canha,et al. Multiple Criteria Analysis for Energy Storage Selection , 2011 .
[34] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[35] Przemyslaw Grzegorzewski,et al. Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric , 2004, Fuzzy Sets Syst..
[36] Shouzhen Zeng,et al. A method based on TOPSIS and distance measures for hesitant fuzzy multiple attribute decision making , 2018 .
[37] Jin-Li Hu,et al. Disaggregate energy efficiency of regions in Taiwan , 2018 .
[38] Zeshui Xu,et al. Some geometric aggregation operators based on intuitionistic fuzzy sets , 2006, Int. J. Gen. Syst..
[39] Lin Zhong,et al. Two MAGDM models based on hesitant fuzzy linguistic term sets with possibility distributions: VIKOR and TOPSIS , 2019, Inf. Sci..
[40] Thomas Spengler,et al. Operations research for sustainability assessment of products: A review , 2019, Eur. J. Oper. Res..
[41] Arvind R. Singh,et al. A review of multi criteria decision making (MCDM) towards sustainable renewable energy development , 2017 .
[42] Ulf Herrmann,et al. Two-tank molten salt storage for parabolic trough solar power plants , 2004 .
[43] E. Zavadskas,et al. Project management by multimoora as an instrument for transition economies , 2010 .
[44] Ting-Yu Chen,et al. The inclusion-based TOPSIS method with interval-valued intuitionistic fuzzy sets for multiple criteria group decision making , 2015, Appl. Soft Comput..
[45] Zeshui Xu,et al. Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.
[46] Witold Pedrycz,et al. Multi-attribute group decision making based on extended TOPSIS method under interval-valued intuitionistic fuzzy environment , 2018, Appl. Soft Comput..
[47] Edmundas Kazimieras Zavadskas,et al. The MOORA method and its application to privatization in a transition economy , 2006 .
[48] M. Song,et al. Market competition, green technology progress and comparative advantages in China , 2018 .
[49] E. Løken. Use of multicriteria decision analysis methods for energy planning problems , 2007 .
[50] Jiankun He,et al. The win-win pathway of economic growth and CO2 emission reduction: a case study for China , 2018, Chinese Journal of Population Resources and Environment.
[51] Adel Guitouni,et al. Tentative guidelines to help choosing an appropriate MCDA method , 1998, Eur. J. Oper. Res..
[52] Fatih Emre Boran,et al. The Evaluation of Renewable Energy Technologies for Electricity Generation in Turkey Using Intuitionistic Fuzzy TOPSIS , 2012 .
[53] Muhamad Zameri Mat Saman,et al. A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments , 2017, Appl. Soft Comput..
[54] Na Lu,et al. Low-carbon technology innovation responding to climate change from the perspective of spatial spillover effects , 2018 .
[55] Chuntian Cheng,et al. Peak shaving operation of hydro-thermal-nuclear plants serving multiple power grids by linear programming , 2017 .
[56] Zhong-kai Feng,et al. A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China , 2018, Appl. Soft Comput..
[57] Edmundas Kazimieras Zavadskas,et al. A new additive ratio assessment (ARAS) method in multicriteria decision‐making , 2010 .
[58] E. de Oliveira Fernandes,et al. Multi-Criteria Decision Support Methods for Renewable Energy Systems on Islands , 2015 .
[59] T. Kousksou,et al. Energy storage: Applications and challenges , 2014 .
[60] Gülçin Büyüközkan,et al. Cloud computing technology selection based on interval-valued intuitionistic fuzzy MCDM methods , 2018, Soft Computing.
[61] Diyar Akay,et al. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method , 2009, Expert Syst. Appl..
[62] Jingzheng Ren,et al. Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach , 2018, Renewable Energy.
[63] Wen-feng Dai,et al. Multi-stage multi-attribute decision-making method based on the prospect theory and triangular fuzzy MULTIMOORA , 2018, Soft Computing.
[64] Zeshui Xu,et al. Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making , 2015, Appl. Soft Comput..
[65] Drakoulis Martakos,et al. In-depth analysis and simulation study of an innovative fuzzy approach for ranking alternatives in multiple attribute decision making problems based on TOPSIS , 2011, Appl. Soft Comput..
[66] Zhiping Chen,et al. New group decision making method in intuitionistic fuzzy setting based on TOPSIS , 2015 .
[67] Jianlin Wang,et al. Better resource management: An improved resource and environmental efficiency evaluation approach that considers undesirable outputs , 2018 .