A modified method of generating Z-number based on OWA weights and maximum entropy

[1]  Sita Radhakrishnan,et al.  Analysis of parameters affecting blood oxygen saturation and modeling of fuzzy logic system for inspired oxygen prediction , 2019, Comput. Methods Programs Biomed..

[2]  Witold Pedrycz,et al.  Approximate Reasoning on a Basis of Z-Number-Valued If–Then Rules , 2017, IEEE Transactions on Fuzzy Systems.

[3]  Wen Jiang,et al.  A Novel Z-Network Model Based on Bayesian Network and Z-Number , 2020, IEEE Transactions on Fuzzy Systems.

[4]  Ronald R. Yager,et al.  Multicriteria Decision Making With Ordinal/Linguistic Intuitionistic Fuzzy Sets For Mobile Apps , 2016, IEEE Transactions on Fuzzy Systems.

[5]  Qaisar Khan,et al.  Different Approaches to Multi-Criteria Group Decision Making Problems for Picture Fuzzy Environment , 2018, Bulletin of the Brazilian Mathematical Society, New Series.

[6]  Zhen Li,et al.  A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method , 2019, Eng. Appl. Artif. Intell..

[7]  Hong-yu Zhang,et al.  Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers , 2017, Cognitive Computation.

[8]  Yong Deng,et al.  Generating Z‐number based on OWA weights using maximum entropy , 2018, Int. J. Intell. Syst..

[9]  Lotfi A. Zadeh,et al.  A Note on Z-numbers , 2011, Inf. Sci..

[10]  Yu Luo,et al.  Ranking Z-numbers with an improved ranking method for generalized fuzzy numbers , 2017, J. Intell. Fuzzy Syst..

[11]  Raimundo Real,et al.  Applying fuzzy logic to assess the biogeographical risk of dengue in South America , 2019, Parasites & Vectors.

[12]  Nadeem Javaid,et al.  Neuroscience patient identification using big data and fuzzy logic-An Alzheimer's disease case study , 2019, Expert Syst. Appl..

[13]  Ronald R. Yager,et al.  Soft likelihood functions in combining evidence , 2017, Inf. Fusion.

[14]  Zhiyong Gao,et al.  A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships , 2018, Qual. Reliab. Eng. Int..

[15]  Robert Fullér,et al.  An Analytic Approach for Obtaining Maximal Entropy Owa Operator Weights , 2001, Fuzzy Sets Syst..

[16]  Yong Deng,et al.  Total utility of Z-number , 2017, Applied Intelligence.

[17]  Bingyi Kang,et al.  A Method of Measuring Uncertainty for Z-Number , 2019, IEEE Transactions on Fuzzy Systems.

[18]  Bingyi Kang,et al.  Environmental assessment under uncertainty using Dempster–Shafer theory and Z-numbers , 2019, Journal of Ambient Intelligence and Humanized Computing.

[19]  Oh,et al.  Application of Fuzzy Logic for Problems of Evaluating States of a Computing System , 2019, Applied Sciences.

[20]  Faisal Khan,et al.  Pythagorean cubic fuzzy aggregation operators and their application to multi-criteria decision making problems , 2019, J. Intell. Fuzzy Syst..

[21]  R.A. Aliev,et al.  The arithmetic of continuous Z-numbers , 2016, Inf. Sci..

[22]  Rafik A. Aliev,et al.  Z‐Number‐Based Linear Programming , 2015, Int. J. Intell. Syst..

[23]  Rafik A. Aliev,et al.  The Arithmetic of Z-Numbers - Theory and Applications , 2015, The Arithmetic of Z-Numbers.

[24]  Elham Sahebkar Khorasani,et al.  Modeling and implementation of Z-number , 2016, Soft Comput..

[25]  S. Meysam Mousavi,et al.  An analysis approach to handle uncertain multi-criteria group decision problems in the framework of interval type-2 fuzzy sets theory , 2019, Neural Computing and Applications.

[26]  Qing Liu,et al.  Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory , 2019, Eng. Appl. Artif. Intell..

[27]  Omidvar Mohsen,et al.  An extended VIKOR method based on entropy measure for the failure modes risk assessment – A case study of the geothermal power plant (GPP) , 2017 .

[28]  K. Mahler,et al.  An unsolved problem on the powers of 3/2 , 1968, Journal of the Australian Mathematical Society.

[29]  Tahir Mahmood,et al.  Spherical fuzzy sets and their applications in multi-attribute decision making problems , 2019, J. Intell. Fuzzy Syst..

[30]  Bingyi Kang,et al.  Stable strategies analysis based on the utility of Z-number in the evolutionary games , 2018, Appl. Math. Comput..

[31]  Saleem Abdullah,et al.  Trapezoidal cubic hesitant fuzzy aggregation operators and their application in group decision-making , 2019, J. Intell. Fuzzy Syst..

[32]  Bingyi Kang,et al.  A New Methodology of Multicriteria Decision-Making in Supplier Selection Based on -Numbers , 2016 .

[33]  Ronald R. Yager,et al.  On Z‐valuations using Zadeh's Z‐numbers , 2012, Int. J. Intell. Syst..

[34]  Yu Yang,et al.  SMAA-based model for decision aiding using regret theory in discrete Z-number context , 2018, Appl. Soft Comput..

[35]  Mohammad Ghasem Akbari,et al.  Principal component analysis based on intuitionistic fuzzy random variables , 2019, Computational and Applied Mathematics.

[36]  Naif Alajlan,et al.  On characterizing features of OWA aggregation operators , 2014, Fuzzy Optim. Decis. Mak..

[37]  Florentin Smarandache,et al.  Logarithmic Hybrid Aggregation Operators Based on Single Valued Neutrosophic Sets and Their Applications in Decision Support Systems , 2019, Symmetry.

[38]  Sankar K. Pal,et al.  Z*-numbers: Augmented Z-numbers for machine-subjectivity representation , 2015, Inf. Sci..

[39]  Wei Zheng,et al.  Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach , 2018, IEEE Transactions on Reliability.

[40]  Witold Pedrycz,et al.  Functions defined on a set of Z-numbers , 2018, Inf. Sci..

[41]  Tahir Mahmood,et al.  The cosine similarity measures of spherical fuzzy sets and their applications in decision making , 2019, J. Intell. Fuzzy Syst..

[42]  Jianming Zhan,et al.  Complex fuzzy sets with applications in signals , 2019 .

[43]  Ali Azadeh,et al.  Z-number DEA: A new possibilistic DEA in the context of Z-numbers , 2016, Adv. Eng. Informatics.

[44]  Rafik A. Aliev,et al.  The arithmetic of discrete Z-numbers , 2015, Inf. Sci..

[45]  Chunhe Xie,et al.  Failure Mode and Effects Analysis based on Z-numbers , 2018 .

[46]  Tahir Mahmood,et al.  Averaging aggregation operators with pythagorean trapezoidal fuzzy numbers and their application to group decision making , 2019, J. Intell. Fuzzy Syst..

[47]  Kajla Basu,et al.  Multi-objective availability allocation using hesitated attraction based particle swarm optimization , 2019, J. Intell. Fuzzy Syst..

[48]  Yong Deng,et al.  Dependence assessment in human reliability analysis based on evidence credibility decay model and IOWA operator , 2018 .

[49]  Rafik Aliev,et al.  Application of Z-Number Based Modeling in Psychological Research , 2015, Comput. Intell. Neurosci..

[50]  Per Hilletofth,et al.  Three novel fuzzy logic concepts applied to reshoring decision-making , 2019, Expert Syst. Appl..

[51]  Naif Alajlan,et al.  Probabilistically Weighted OWA Aggregation , 2014, IEEE Transactions on Fuzzy Systems.

[52]  J. Kacprzyk,et al.  The Ordered Weighted Averaging Operators: Theory and Applications , 1997 .

[53]  Rahib Hidayat Abiyev.  Z Number Based Fuzzy Inference System for Dynamic Plant Control , 2016, Adv. Fuzzy Syst..

[54]  Chunhe Xie,et al.  Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis , 2016, Sensors.

[55]  Dimitar Filev,et al.  Analytic Properties of Maximum Entropy OWA Operators , 1995, Inf. Sci..

[56]  Muhammad Sajjad Ali Khan,et al.  Multiattribute group decision‐making based on Pythagorean fuzzy Einstein prioritized aggregation operators , 2018, Int. J. Intell. Syst..

[57]  Dimitar Filev,et al.  On the issue of obtaining OWA operator weights , 1998, Fuzzy Sets Syst..

[58]  Shouzhen Zeng,et al.  Application of Exponential Jensen Picture Fuzzy Divergence Measure in Multi-Criteria Group Decision Making , 2019, Mathematics.

[59]  Soumitra Dutta,et al.  An Insight Into The Z-number Approach To CWW , 2013, Fundam. Informaticae.

[60]  Wen Jiang,et al.  A new medical diagnosis method based on Z-numbers , 2017, Applied Intelligence.

[61]  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..

[62]  Faisal Khan,et al.  A New Ranking Methodology for Pythagorean Trapezoidal Uncertain Linguistic Fuzzy Sets Based on Einstein Operations , 2019, Symmetry.