Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bang-He Han"'
Publikováno v:
Applied Soft Computing. 54:467-484
Graphical abstractDisplay Omitted HighlightsThree types of linear programming algorithms for normal parameter reductions of soft sets are proposed.Two types of linear programming algorithms for pseudo parameter reductions of soft sets are proposed.Th
Publikováno v:
Knowledge-Based Systems. 59:121-131
Purpose: This paper aims to develop and compare several elicitation criterions for decision making of incomplete soft sets which are generated by restricted intersection. Design/methodology/approach: One time elicitation process is divided into two s
Autor:
Sheng-Ling Geng, Bang-He Han
Publikováno v:
European Journal of Operational Research. 231:779-783
This paper aims to find a faster method for optimal solutions of Feng et al.’s int m – int n decision making scheme. We first give theoretical characterizations of optimal decision sets. Then we develop a pruning method which filters out those ob
Publikováno v:
Quantitative Logic and Soft Computing 2016 ISBN: 9783319462059
A splitting algorithm is developed for solving single-query projection problems in valuation algebras. This method is based on a generalized combination theorem. It is shown that by using this new kind of combination property, a given single-query pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9aa92cc736b8162c3f6377cd9155d08
https://doi.org/10.1007/978-3-319-46206-6_21
https://doi.org/10.1007/978-3-319-46206-6_21
Publikováno v:
Quantitative Logic and Soft Computing 2010 ISBN: 9783642156595
Soft set theory is a newly emerging mathematical approach to vagueness. However, it seems that there is no existing research devoted to the discussion of applying soft sets to approximate reasoning. This paper aims to initiate an approximate reasonin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45b5304f0f6252a36691bcc805fe6e29
https://doi.org/10.1007/978-3-642-15660-1_22
https://doi.org/10.1007/978-3-642-15660-1_22