Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS

Abdul  Yaakob; Ku Muhammad Naim Ku Khalif; Alexander Emilov Gegov; Siti Fatimah  Abdul Rahman

Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS

Abdul Yaakob
, Ku Muhammad Naim Ku Khalif
, Alexander Emilov Gegov
, Siti Fatimah Abdul Rahman

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

The paper considers fuzzy rule based system for multi criteria group decision making problem. A novel version of TOPSIS method using interval type 2 fuzzy rule based system approach is proposed with the objective of improving the type 2 TOPSIS ability to deal with ambiguity through the combination of the mathematical process involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be expressed by a fuzzy rule base. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using Kendall’s Tau rank correlation. Based on the result, the proposed method outperforms the established non-rule based version of type 2 TOPSIS in term of ranking performance.

Original language	English
Title of host publication	Proceedings of the 7th international joint conference on computational intelligence
Publisher	SCITEPRESS – Science and Technology Publications
Pages	112-120
Number of pages	8
Volume	1
ISBN (Electronic)	978-989-758-157-1
Publication status	Published - 12 Nov 2015
Event	7th International Joint Conference on Computational Intelligence - Lisbon, Portugal Duration: 12 Nov 2015 → 14 Nov 2015

Conference

Conference	7th International Joint Conference on Computational Intelligence
Country/Territory	Portugal
City	Lisbon
Period	12/11/15 → 14/11/15

Keywords

Fuzzy Decision Making
Assessing Ranking alternative
TOPSIS
Type 2 Fuzzy Set
Fuzzy Rule based System,
Influence Degree
Stock Selection

Access to Document

http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=ms1RMYpgQfQ=&t=1

Cite this

Yaakob, A., Ku Khalif, K. M. N., Gegov, A. E., & Abdul Rahman, S. F. (2015). Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS. In Proceedings of the 7th international joint conference on computational intelligence (Vol. 1, pp. 112-120). SCITEPRESS – Science and Technology Publications. http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=ms1RMYpgQfQ=&t=1

@inbook{bdf66f37c8bc47808e9fc02dfa4e86c7,

title = "Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS",

abstract = "The paper considers fuzzy rule based system for multi criteria group decision making problem. A novel version of TOPSIS method using interval type 2 fuzzy rule based system approach is proposed with the objective of improving the type 2 TOPSIS ability to deal with ambiguity through the combination of the mathematical process involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be expressed by a fuzzy rule base. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using Kendall{\textquoteright}s Tau rank correlation. Based on the result, the proposed method outperforms the established non-rule based version of type 2 TOPSIS in term of ranking performance.",

keywords = " Fuzzy Decision Making, Assessing Ranking alternative, TOPSIS, Type 2 Fuzzy Set, Fuzzy Rule based System,, Influence Degree, Stock Selection",

author = "Abdul Yaakob and \{Ku Khalif\}, \{Ku Muhammad Naim\} and Gegov, \{Alexander Emilov\} and \{Abdul Rahman\}, \{Siti Fatimah\}",

year = "2015",

month = nov,

day = "12",

language = "English",

volume = "1",

pages = "112--120",

booktitle = "Proceedings of the 7th international joint conference on computational intelligence",

publisher = " SCITEPRESS – Science and Technology Publications",

note = "7th International Joint Conference on Computational Intelligence ; Conference date: 12-11-2015 Through 14-11-2015",

}

Yaakob, A, Ku Khalif, KMN, Gegov, AE & Abdul Rahman, SF 2015, Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS. in Proceedings of the 7th international joint conference on computational intelligence. vol. 1, SCITEPRESS – Science and Technology Publications, pp. 112-120, 7th International Joint Conference on Computational Intelligence, Lisbon, Portugal, 12/11/15. <http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=ms1RMYpgQfQ=&t=1>

Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS. / Yaakob, Abdul ; Ku Khalif, Ku Muhammad Naim; Gegov, Alexander Emilov et al.
Proceedings of the 7th international joint conference on computational intelligence. Vol. 1 SCITEPRESS – Science and Technology Publications, 2015. p. 112-120.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS

AU - Yaakob, Abdul

AU - Ku Khalif, Ku Muhammad Naim

AU - Gegov, Alexander Emilov

AU - Abdul Rahman, Siti Fatimah

PY - 2015/11/12

Y1 - 2015/11/12

N2 - The paper considers fuzzy rule based system for multi criteria group decision making problem. A novel version of TOPSIS method using interval type 2 fuzzy rule based system approach is proposed with the objective of improving the type 2 TOPSIS ability to deal with ambiguity through the combination of the mathematical process involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be expressed by a fuzzy rule base. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using Kendall’s Tau rank correlation. Based on the result, the proposed method outperforms the established non-rule based version of type 2 TOPSIS in term of ranking performance.

AB - The paper considers fuzzy rule based system for multi criteria group decision making problem. A novel version of TOPSIS method using interval type 2 fuzzy rule based system approach is proposed with the objective of improving the type 2 TOPSIS ability to deal with ambiguity through the combination of the mathematical process involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be expressed by a fuzzy rule base. To ensure practicality and effectiveness of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using Kendall’s Tau rank correlation. Based on the result, the proposed method outperforms the established non-rule based version of type 2 TOPSIS in term of ranking performance.

KW - Fuzzy Decision Making

KW - Assessing Ranking alternative

KW - TOPSIS

KW - Type 2 Fuzzy Set

KW - Fuzzy Rule based System,

KW - Influence Degree

KW - Stock Selection

UR - http://www.ecta.ijcci.org/?y=2015

M3 - Chapter (peer-reviewed)

VL - 1

SP - 112

EP - 120

BT - Proceedings of the 7th international joint conference on computational intelligence

PB - SCITEPRESS – Science and Technology Publications

T2 - 7th International Joint Conference on Computational Intelligence

Y2 - 12 November 2015 through 14 November 2015

ER -

Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this