Security Threat Assessment of Aircraft System using FSS

The security and schedule management of an aircraft system has become much more important and very complicated issue because of information age's advances to solve this complication. We are using fuzzy soft set with the decision-making problem in aircraft system. This research uses the Fuzzy Soft Set Decision-Making Method (FSS_DMM) to determine the weight of assessment criteria and to synthesize the score of aircraft. This concept is used to acquire the complete performance value for each alternative, to make the final choice.

[1]  Umesh Kumar,et al.  Analysis of fatal human error aircraft accidents in IAF Wg Cdr BK , .

[2]  Filiz Çitak,et al.  Fuzzy parameterized fuzzy soft set theory and its applications , 2010 .

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

[4]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[5]  Irfan Deli,et al.  Intuitionistic fuzzy parameterized soft set theory and its decision making , 2013, Appl. Soft Comput..

[6]  Pachaiyappan Muthukumar,et al.  A similarity measure of intuitionistic fuzzy soft sets and its application in medical diagnosis , 2016, Appl. Soft Comput..

[7]  Dharmendra Singh Rajput.  Review on recent developments in frequent itemset based document clustering, its research trends and applications , 2019 .

[8]  Cheng-Fu Yang,et al.  A note on "Soft Set Theory" [Comput. Math. Appl 45 (4-5) (2003) 555-562] , 2008, Comput. Math. Appl..

[9]  Dharmendra Singh Rajput,et al.  A supervised aspect level sentiment model to predict overall sentiment on tweeter documents , 2018, Int. J. Metadata Semant. Ontologies.

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

[11]  Huayou Chen,et al.  Uncertain linguistic fuzzy soft sets and their applications in group decision making , 2015, Appl. Soft Comput..

[12]  Khaleed Alhazaymeh,et al.  GENERALIZED VAGUE SOFT SET AND ITS APPLICATIONS , 2012 .

[13]  Hongxiang Tang,et al.  A novel fuzzy soft set approach in decision making based on grey relational analysis and Dempster-Shafer theory of evidence , 2015, Appl. Soft Comput..

[14]  Congcong Meng,et al.  The multi-fuzzy soft set and its application in decision making , 2013 .

[15]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[16]  Syed Muzamil Basha and Dharmendra Singh Rajput,et al.  Parsing Based Sarcasm Detection from Literal Language in Tweets , 2018, Recent Patents on Computer Science.

[17]  Ramjeevan Singh Thakur,et al.  A computational model for knowledge extraction in uncertain textual data using karnaugh map technique , 2016, Int. J. Comput. Sci. Math..

[18]  Eric C. C. Tsang,et al.  The parameterization reduction of soft sets and its applications , 2005 .

[19]  A. R. Roy,et al.  A fuzzy soft set theoretic approach to decision making problems , 2007 .

[21]  Naim Çagman,et al.  Soft sets and soft groups , 2007, Inf. Sci..

[22]  Xiaoyan Liu,et al.  On some new operations in soft set theory , 2009, Comput. Math. Appl..

[23]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

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

[25]  Dharmendra Singh Rajput,et al.  A roadmap towards implementing parallel aspect level sentiment analysis , 2019, Multimedia Tools and Applications.

[26]  P. K. Das,et al.  Application of Vague Soft Sets in studentsâ evaluation , 2011 .

[27]  Steven Li,et al.  The normal parameter reduction of soft sets and its algorithm , 2008, Comput. Math. Appl..

[28]  José Carlos Rodriguez Alcantud,et al.  A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set , 2016, Inf. Fusion.

[29]  G. S. Thakur,et al.  Fuzzy Soft Traffic Accident Alert Model , 2014 .