The Summary of Decision Making Problems in incomplete Soft Set

DOI

10.2991/emim-15.2015.234How to use a DOI?

Keywords

Soft Set; Choice Value; Weighted Average; Incomplete fuzzy soft set; Relative Dominace Degree

Abstract

In this paper, three approaches to deal with missing data in soft set are analyzed, Yan Zou[1] predicated the incomplete data with the average probability, the decision value of an object with incomplete information is calculated by weighted-average of all possible choice values of the objects. Zhi Kong[2]simplifies the approach and present the simplified probability to directly instead of the incomplete information. In paper[3],Deng introduces notions of complete distance between two objects and relative dominance degree between two parameters. An object-parameter method is proposed to predict unknown data in incomplete fuzzy soft set. In the current paper, a comparison is made to illustrate the advantages and disadvantages in all the approaches, a counterexample is given to show that in some cases the data provided by this approach is not guaranteed to be positive.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lishi Zhang
AU  - Leilei Qu
AU  - Ying Wan
PY  - 2015/04
DA  - 2015/04
TI  - The Summary of Decision Making Problems in incomplete Soft Set
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 1191
EP  - 1195
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.234
DO  - 10.2991/emim-15.2015.234
ID  - Zhang2015/04
ER  -