Interval-Valued Neutrosophic Bonferroni Mean Operators and the Application in the Selection of Renewable Energy

Renewable energy has been replacing traditional non-renewable energy owing to the limitation of the latter and environmental protection. Renewable energy is energy that can be circularly regenerated in nature. It mainly includes solar energy, wind energy, biomass energy, tidal energy and ocean thermal energy, just name a few.

[1]  Peide Liu,et al.  An Extended TOPSIS Method for the Multiple Attribute Decision Making Problems Based on Interval Neutrosophic Set , 2014 .

[2]  Hong-yu Zhang,et al.  A novel decision support model for satisfactory restaurants utilizing social information: A case study of TripAdvisor.com , 2017 .

[3]  Yanqing Zhang,et al.  Interval Neutrosophic Sets and Logic: Theory and Applications in Computing , 2005, ArXiv.

[4]  Jing Wang,et al.  An interval neutrosophic linguistic multi-criteria group decision-making method and its application in selecting medical treatment options , 2017, Neural Computing and Applications.

[5]  Xiaowei Xu,et al.  Multi-criteria decision making approaches for supplier evaluation and selection: A literature review , 2010, Eur. J. Oper. Res..

[6]  Witold Pedrycz,et al.  A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning , 2015, IEEE Transactions on Fuzzy Systems.

[7]  Rajshekhar Sunderraman,et al.  Single Valued Neutrosophic Sets , 2010 .

[8]  Pinaki Majumdar,et al.  On similarity and entropy of neutrosophic sets , 2013, J. Intell. Fuzzy Syst..

[9]  Keqin Li,et al.  Toward trustworthy cloud service selection: A time-aware approach using interval neutrosophic set , 2016, J. Parallel Distributed Comput..

[10]  Ridvan cSahin,et al.  Multi-criteria neutrosophic decision making method based on score and accuracy functions under neutrosophic environment , 2014, 1412.5202.

[11]  Jianqiang Wang,et al.  Multi-criteria Group Decision-Making Method Based on Intuitionistic Interval Fuzzy Information , 2012, Group Decision and Negotiation.

[12]  Hong-yu Zhang,et al.  A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection , 2016, Neural Computing and Applications.

[13]  uan-juan Penga,et al.  An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets , 2014 .

[14]  Zeshui Xu,et al.  Geometric Bonferroni means with their application in multi-criteria decision making , 2013, Knowl. Based Syst..

[15]  Ronald R. Yager,et al.  Generalized Bonferroni mean operators in multi-criteria aggregation , 2010, Fuzzy Sets Syst..

[16]  Jian-qiang Wang,et al.  Hesitant Uncertain Linguistic Z-Numbers and Their Application in Multi-criteria Group Decision-Making Problems , 2017, Int. J. Fuzzy Syst..

[17]  Zeshui Xu,et al.  Intuitionistic Fuzzy Bonferroni Means , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[18]  Hong-yu Zhang,et al.  Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers , 2015, Soft Computing.

[19]  Hong-yu Zhang,et al.  A Neutrosophic Normal Cloud and Its Application in Decision-Making , 2016, Cognitive Computation.

[20]  Lin Li,et al.  Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators , 2016, Neural Computing and Applications.

[21]  Lin Li,et al.  Multi-criteria group decision-making method based on interdependent inputs of single-valued trapezoidal neutrosophic information , 2016, Neural Computing and Applications.

[22]  Ioan Nistor,et al.  Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach , 2014 .

[23]  Jing Wang,et al.  Multi-valued Neutrosophic Sets and Power Aggregation Operators with Their Applications in Multi-criteria Group Decision-making Problems , 2015, Int. J. Comput. Intell. Syst..

[24]  Jing Wang,et al.  Simplified neutrosophic linguistic normalized weighted Bonferroni mean operator and its application to multi-criteria decision-making problems , 2015 .

[25]  Mads Troldborg,et al.  Assessing the sustainability of renewable energy technologies using multi-criteria analysis: Suitability of approach for national-scale assessments and associated uncertainties , 2014 .

[26]  Kannan Govindan,et al.  Multi criteria decision making approaches for green supplier evaluation and selection: a literature review , 2015 .

[27]  Hong-yu Zhang,et al.  Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems , 2016, Int. J. Syst. Sci..

[28]  Jian-qiang Wang,et al.  An approach to interval-valued intuitionistic stochastic multi-criteria decision-making using set pair analysis , 2018, Int. J. Mach. Learn. Cybern..

[29]  Jayanath Ananda,et al.  A critical review of multi-criteria decision making methods with special reference to forest management and planning , 2009 .

[30]  Zhang-peng Tian,et al.  Multi-criteria decision-making based on generalized prioritized aggregation operators under simplified neutrosophic uncertain linguistic environment , 2017, Int. J. Mach. Learn. Cybern..

[31]  I. Turksen Interval valued fuzzy sets based on normal forms , 1986 .

[32]  Rıdvan Şahin,et al.  A multi attribute decision making method based on inclusion measure for interval neutrosophic sets , 2015 .

[33]  Zhang-peng Tian,et al.  Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets , 2015, Int. J. Syst. Sci..

[34]  Li-Jun Yang,et al.  An extension of ELECTRE to multi-criteria decision-making problems with multi-hesitant fuzzy sets , 2015, Inf. Sci..

[35]  Hong-yu Zhang,et al.  An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems , 2015, Int. J. Comput. Intell. Syst..

[36]  Sunil Jacob John,et al.  Intuitionistic Fuzzy Multisets And Its Application in Medical Diagnosis , 2012 .

[37]  Jun Ye,et al.  Multicriteria decision-making method using the correlation coefficient under single-valued neutrosophic environment , 2013, Int. J. Gen. Syst..

[38]  Ronald R. Yager,et al.  Multiple objective decision-making using fuzzy sets , 1977 .

[39]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[40]  Florentin Smarandache,et al.  n-Valued Refined Neutrosophic Logic and Its Applications to Physics , 2013, ArXiv.

[41]  Carlo Bonferroni Sulle medie multiple di potenze , 1950 .

[42]  Zhang-peng Tian,et al.  Simplified Neutrosophic Linguistic Multi-criteria Group Decision-Making Approach to Green Product Development , 2017 .

[43]  Edmundas Kazimieras Zavadskas,et al.  Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches , 2015 .

[44]  Zeshui Xu,et al.  Hesitant fuzzy Bonferroni means for multi-criteria decision making , 2013, J. Oper. Res. Soc..

[45]  Hong-yu Zhang,et al.  Frank prioritized Bonferroni mean operator with single-valued neutrosophic sets and its application in selecting third-party logistics providers , 2016, Neural Computing and Applications.

[46]  Zhang-peng Tian,et al.  Multicriteria decision-making approach based on gray linguistic weighted Bonferroni mean operator , 2018, Int. Trans. Oper. Res..

[47]  Peide Liu,et al.  Maximizing deviation method for neutrosophic multiple attribute decision making with incomplete weight information , 2015, Neural Computing and Applications.

[48]  Peide Liu,et al.  Multiple attribute decision-making method based on single-valued neutrosophic normalized weighted Bonferroni mean , 2014, Neural Computing and Applications.

[49]  Jian-qiang Wang,et al.  A multi-valued neutrosophic qualitative flexible approach based on likelihood for multi-criteria decision-making problems , 2017, Int. J. Syst. Sci..

[50]  Edmundas Kazimieras Zavadskas,et al.  Market Segment Evaluation and Selection Based on Application of Fuzzy AHP and COPRAS-G Methods , 2012 .

[51]  Cengiz Kahraman,et al.  Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul , 2010 .

[52]  J. R. San Cristóbal,et al.  Multi-criteria decision-making in the selection of a renewable energy project in Spain: the VIKOR method. , 2011 .

[53]  Jian-qiang Wang,et al.  Cross-Entropy and Prioritized Aggregation Operator with Simplified Neutrosophic Sets and Their Application in Multi-Criteria Decision-Making Problems , 2016, International Journal of Fuzzy Systems.

[54]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[55]  L. Zadeh Probability measures of Fuzzy events , 1968 .

[56]  Sanjay Kumar,et al.  Fuzzy Time Series Model Based on Intuitionistic Fuzzy Sets for Empirical Research in Stock Market , 2012, Int. J. Appl. Evol. Comput..

[57]  Hong-yu Zhang,et al.  An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets , 2015, Neural Computing and Applications.

[58]  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.

[59]  Francisco J. Santos-Arteaga,et al.  A dynamic multi-stage data envelopment analysis model with application to energy consumption in the cotton industry , 2015 .

[60]  Jun Ye,et al.  A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets , 2014, J. Intell. Fuzzy Syst..

[61]  Umberto Rivieccio,et al.  Neutrosophic logics: Prospects and problems , 2008, Fuzzy Sets Syst..

[62]  Zeshui Xu,et al.  Generalized intuitionistic fuzzy Bonferroni means , 2012, Int. J. Intell. Syst..

[63]  Hong-yu Zhang,et al.  Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems , 2014, TheScientificWorldJournal.

[64]  Wei Zhou,et al.  Intuitionistic Fuzzy Normalized Weighted Bonferroni Mean and Its Application in Multicriteria Decision Making , 2012, J. Appl. Math..

[65]  Edmundas Kazimieras Zavadskas,et al.  Selecting the optimal renewable energy using multi criteria decision making , 2013 .