A new type of generalized picture fuzzy soft set and its application in decision making

 In this article, we propose a novel concept of the generalized picture fuzzy soft set by combining the picture fuzzy soft set and the fuzzy parameter set. For possible applications, we explain five kinds of operations (e.g., subset, equal, union, intersection, and complement) based on generalized picture fuzzy soft sets. Then, we establish several theoretical operations of generalized picture fuzzy soft sets. In addition, we present the new type by using the AND operation of the generalized picture fuzzy soft set for fuzzy decision-making and clarify its applicability with a numerical example. Finally, we give a comparison between the picture fuzzy soft set theory and the generalized picture fuzzy soft set theory. It is shown that our proposed (i.e., generalized picture fuzzy soft set theory) is viable and provide decision makers a more mathematical insight before making decisions on their options.

[1]  Zeeshan Ali,et al.  Multi-valued picture fuzzy soft sets and their applications in group decision-making problems , 2020, Soft Computing.

[2]  Nasruddin Hassan,et al.  Fuzzy Soft Expert System in Prediction of Coronary Artery Disease , 2016, International Journal of Fuzzy Systems.

[3]  T. Al-shami Comments on some results related to soft separation axioms , 2020 .

[4]  Abdul Haseeb Ganie,et al.  Some new correlation coefficients of picture fuzzy sets with applications , 2020, Neural Computing and Applications.

[5]  Nasruddin Hassan,et al.  Inverse fuzzy soft set and its application in decision making , 2019, Int. J. Inf. Decis. Sci..

[6]  Fuyuan Xiao,et al.  A generalized belief interval-valued soft set with applications in decision making , 2020, Soft Comput..

[7]  Chunyong Wang,et al.  SOME GEOMETRIC AGGREGATION OPERATORS BASED ON PICTURE FUZZY SETS AND THEIR APPLICATION IN MULTIPLE ATTRIBUTE DECISION MAKING , 2017 .

[8]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[9]  A. R. Roy,et al.  Soft set theory , 2003 .

[10]  Muhammad Jabir Khan,et al.  Applications of Generalized Picture Fuzzy Soft Set in Concept Selection , 2020 .

[11]  M. E. El-Shafei,et al.  T-soft equality relation , 2020 .

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

[13]  Le Hoang Son,et al.  Picture inference system: a new fuzzy inference system on picture fuzzy set , 2016, Applied Intelligence.

[14]  Manish Agarwal,et al.  Generalized intuitionistic fuzzy soft sets with applications in decision-making , 2013, Appl. Soft Comput..

[15]  D. Molodtsov Soft set theory—First results , 1999 .

[16]  Madhumangal Pal,et al.  Generalised multi-fuzzy soft set and its application in decision making , 2015 .

[17]  Shawkat Alkhazaleh,et al.  Time-neutrosophic soft set and its applications , 2015, J. Intell. Fuzzy Syst..

[18]  Xindong Peng,et al.  ALGORITHM FOR PICTURE FUZZY MULTIPLE ATTRIBUTE DECISION-MAKING BASED ON NEW DISTANCE MEASURE , 2017 .

[19]  Fei You,et al.  More on "Time-neutrosophic soft set and its applications" , 2018, J. Intell. Fuzzy Syst..

[20]  Harish Garg Some Picture Fuzzy Aggregation Operators and Their Applications to Multicriteria Decision-Making , 2017, Arabian Journal for Science and Engineering.

[21]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[22]  Harish Garg,et al.  New Operations on Interval-Valued Picture Fuzzy Set, Interval-Valued Picture Fuzzy Soft Set and Their Applications , 2019, IEEE Access.

[23]  Athar Kharal,et al.  On Fuzzy Soft Sets , 2009, Adv. Fuzzy Syst..

[24]  Yong Yang,et al.  Adjustable soft discernibility matrix based on picture fuzzy soft sets and its applications in decision making , 2015, J. Intell. Fuzzy Syst..

[25]  A. R. Roy,et al.  An application of soft sets in a decision making problem , 2002 .

[26]  Poom Kumam,et al.  Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems , 2019, Symmetry.

[27]  Saleem Abdullah,et al.  Utilizing Linguistic Picture Fuzzy Aggregation Operators for Multiple-Attribute Decision-Making Problems , 2020, Int. J. Fuzzy Syst..

[28]  Bui Cong Cuong,et al.  Picture fuzzy sets , 2015 .

[29]  Muhammad Akram,et al.  Specific Types of q-Rung Picture Fuzzy Yager Aggregation Operators for Decision-Making , 2020, Int. J. Comput. Intell. Syst..

[30]  Pinaki Majumdar,et al.  Generalised fuzzy soft sets , 2010, Comput. Math. Appl..

[31]  Sheng-Gang Li,et al.  Possibility m-polar fuzzy soft sets and its application in decision-making problems , 2019, J. Intell. Fuzzy Syst..

[32]  Ahmed Khalil,et al.  A new expert system in prediction of lung cancer disease based on fuzzy soft sets , 2020, Soft Computing.

[33]  Saleem Abdullah,et al.  Concept of Yager operators with the picture fuzzy set environment and its application to emergency program selection , 2020, Int. J. Intell. Comput. Cybern..

[34]  T. M. Al-shami,et al.  Partial belong relation on soft separation axioms and decision-making problem, two birds with one stone , 2020, Soft Comput..

[35]  Le Hoang Son,et al.  Some novel hybrid forecast methods based on picture fuzzy clustering for weather nowcasting from satellite image sequences , 2016, Applied Intelligence.

[36]  Peide Liu,et al.  An adjustable weighted soft discernibility matrix based on generalized picture fuzzy soft set and its applications in decision making , 2020, J. Intell. Fuzzy Syst..

[37]  Poom Kumam,et al.  Bi-parametric distance and similarity measures of picture fuzzy sets and their applications in medical diagnosis , 2020, Egyptian Informatics Journal.

[38]  Junhao Wen,et al.  Fundus Image Classification Using VGG-19 Architecture with PCA and SVD , 2018, Symmetry.

[39]  T. M. Al-shami,et al.  Applications of partial belong and total non-belong relations on soft separation axioms and decision-making problem , 2020, Comput. Appl. Math..

[40]  Erol Egrioglu,et al.  Picture fuzzy time series: Defining, modeling and creating a new forecasting method , 2020, Eng. Appl. Artif. Intell..

[41]  Fuad E. Alsaadi,et al.  Projection models for multiple attribute decision making with picture fuzzy information , 2016, International Journal of Machine Learning and Cybernetics.