Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality

Hideki Katagiri; Keiichi Niwa; Daiji Kubo; Takashi Hasuike

Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality

Hideki Katagiri^*, Keiichi Niwa, Daiji Kubo, Takashi Hasuike

^*この研究の対応する著者

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

This paper considers two-level linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed in order to maximize both of possibility and probability with respect to the objective function value. After the original random fuzzy two-level programming problem is reduced to a deterministic one through the proposed model, interactive programming to derive a satisfactory solution for the decision maker at the upper level in consideration of the cooperative relation between decision makers is presented.

本文言語	English
ホスト出版物のタイトル	Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
ページ	2113-2118
ページ数	6
出版ステータス	Published - 2010 12月 1
外部発表	はい
イベント	International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 - Kowloon, Hong Kong 継続期間: 2010 3月 17 → 2010 3月 19

出版物シリーズ

名前	Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

Other

Other	International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
国/地域	Hong Kong
City	Kowloon
Period	10/3/17 → 10/3/19

ASJC Scopus subject areas

コンピュータサイエンス（その他）

他のファイルとリンク

引用スタイル

Katagiri, H., Niwa, K., Kubo, D., & Hasuike, T. (2010). Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 (pp. 2113-2118). (Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010).

Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality. / Katagiri, Hideki; Niwa, Keiichi; Kubo, Daiji その他.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 2113-2118 (Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010).

研究成果: Conference contribution

Katagiri, H, Niwa, K, Kubo, D & Hasuike, T 2010, Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, pp. 2113-2118, International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, Kowloon, Hong Kong, 10/3/17.

Katagiri H, Niwa K, Kubo D, Hasuike T. Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 2113-2118. (Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010).

Katagiri, Hideki ; Niwa, Keiichi ; Kubo, Daiji その他. / Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. pp. 2113-2118 (Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010).

@inproceedings{15cf8fc7be6e4718a1160e921eb8fdc4,

title = "Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality",

abstract = "This paper considers two-level linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed in order to maximize both of possibility and probability with respect to the objective function value. After the original random fuzzy two-level programming problem is reduced to a deterministic one through the proposed model, interactive programming to derive a satisfactory solution for the decision maker at the upper level in consideration of the cooperative relation between decision makers is presented.",

keywords = "Cooperative two-level programming, Fractile criterion, Interactive algorithm, Possibility measure, Random fuzzy variable",

author = "Hideki Katagiri and Keiichi Niwa and Daiji Kubo and Takashi Hasuike",

year = "2010",

month = dec,

day = "1",

language = "English",

isbn = "9789881701282",

series = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010",

pages = "2113--2118",

booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010",

note = "International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 ; Conference date: 17-03-2010 Through 19-03-2010",

}

TY - GEN

T1 - Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality

AU - Katagiri, Hideki

AU - Niwa, Keiichi

AU - Kubo, Daiji

AU - Hasuike, Takashi

PY - 2010/12/1

Y1 - 2010/12/1

N2 - This paper considers two-level linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed in order to maximize both of possibility and probability with respect to the objective function value. After the original random fuzzy two-level programming problem is reduced to a deterministic one through the proposed model, interactive programming to derive a satisfactory solution for the decision maker at the upper level in consideration of the cooperative relation between decision makers is presented.

AB - This paper considers two-level linear programming problems where each coefficient of the objective functions is expressed by a random fuzzy variable. A new decision making model is proposed in order to maximize both of possibility and probability with respect to the objective function value. After the original random fuzzy two-level programming problem is reduced to a deterministic one through the proposed model, interactive programming to derive a satisfactory solution for the decision maker at the upper level in consideration of the cooperative relation between decision makers is presented.

KW - Cooperative two-level programming

KW - Fractile criterion

KW - Interactive algorithm

KW - Possibility measure

KW - Random fuzzy variable

UR - http://www.scopus.com/inward/record.url?scp=79952417652&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952417652&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79952417652

SN - 9789881701282

T3 - Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

SP - 2113

EP - 2118

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

T2 - International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010

Y2 - 17 March 2010 through 19 March 2010

ER -

Interactive random fuzzy two-level programming through possibility-based fractile criterion optimality

抄録

出版物シリーズ

Other

ASJC Scopus subject areas

他のファイルとリンク

フィンガープリント

引用スタイル