Feng Feng

Prof. Dr. Feng Feng

Xi'an University of Posts and Telecommunications
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2009 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
MAM. Irfan Ali
M. Irfan Ali
Feng FengFeng Feng
Feng Feng
XLXiaoyan Liu
Xiaoyan Liu
WMWon Keun Min
Won Keun Min
MSM. Shabir
M. Shabir

27 June 2009 in Soft Computing
Verified
Journal Article
Closed access
PDF file
Feng FengFeng Feng
Feng Feng
CLChangxing Li
Changxing Li
BDBijan Davvaz
Bijan Davvaz
MAM. Irfan Ali
M. Irfan Ali

1 May 2010 in Journal of Computational and Applied Mathematics
Verified
Journal Article
Closed access
Feng FengFeng Feng
Feng Feng
YJYoung Bae Jun
Young Bae Jun
XLXiaoyan Liu
Xiaoyan Liu
LLLifeng Li
Lifeng Li

1 November 2008 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
Feng FengFeng Feng
Feng Feng
YJYoung Bae Jun
Young Bae Jun
XZXianzhong Zhao
Xianzhong Zhao

15 March 2011 in Information Sciences
Verified
Journal Article
Closed access
Feng FengFeng Feng
Feng Feng
XLXiaoyan Liu
Xiaoyan Liu
VLVioleta Leoreanu-Fotea
Violeta Leoreanu-Fotea
YJYoung Bae Jun
Young Bae Jun

31 July 2018 in IEEE Transactions on Fuzzy Systems
Verified
Journal Article
Closed access
Feng FengFeng Feng
Feng Feng
Hamido FujitaHamido Fujita
Hamido Fujita
MAMuhammad Irfan Ali
Muhammad Irfan Ali
RYRonald R. Yager
Ronald R. Yager
XLXiaoyan Liu
Xiaoyan Liu
The existing definition of generalized intuitionistic fuzzy soft sets (GIFSSs) is clarified and reformulated as a combination of an IFSS over the universe of discourse and an intuitionistic fuzzy set in the parameter set. With this new perspective, two different types of generalized intuitionistic fuzzy soft subsets and various new operations are developed for GIFSSs. The upper and lower substitutions for both intuitionistic fuzzy sets and GIFSSs are defined as well. Some existing notions and results are improved by virtue of these new concepts. Using the expectation score function, two binary relations are proposed for comparing intuitionistic fuzzy values. An algorithm is designed for coping with multiattribute decision making (MADM) problems with a combined use of the GIFSS, the extended intersection operation, the intuitionistic fuzzy weighted averaging operator, and other related notions. A case study concerning a faculty appointment problem is conducted to illustrate the proposed algorithm. Moreover, a comparative analysis between our approach and other related works is given to demonstrate the effectiveness and advantages of the newly proposed method.