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Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: application to crowdfunding

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Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: application to crowdfunding. / Chakhar, Salem; Ishizaka, Alessio; Thorpe, Andy; Cox, Joe; Nguyen, Thang; Meech, Liz.

In: European Journal of Operational Research, Vol. 286, No. 2, 16.10.2020, p. 689-712.

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@article{6714a06386b74a3ea79b933dc0e3b009,
title = "Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: application to crowdfunding",
abstract = "Crowdfunding is the practice of funding a project or venture by raising monetary contributions from a large number of people, typically via the Internet. Lendwithcare is amongst the first crowdfunding platforms specifically dedicated to support individual and group entrepreneurs in developing countries through partner microfinance institutions. A key objective of Lendwithcare is to identify the attributes (i.e., the characteristics of crowdfunding projects in their online descriptions) that affect investors/potential investors when taking their investment decision. This paper proposes a decision rule-based approach to address this issue. This approach relies on the Dominance-Based Rough Approach (DRSA), which is a well-known multi criteria sorting method. The outputs of DRSA are a collection of if-then decision rules and a collection of attribute reducts. In this paper, new measures are proposed for calculating the relative importance of condition attributes based on the characteristics of decision rules and of attribute reducts. Decision rule-based measures are parameterised in order to consider the characteristics of decision rules using both learning and testing datasets. The proposed measures can be aggregated into a comprehensive measure indicating the overall importance of each condition attribute. Furthermore, the proposed measures are extended in order to compute the relative importance of a collection of condition attributes taken together. In addition, decision rule-based measures are extended to evaluate the relative importance of specific values of condition attributes. The proposed approach has been applied and validated using real-world data from Lendwithcare. ",
keywords = "Rough sets, Dominance-based Rough Set Approach, Relative importance, Decision rules, Attribute reducts, Crowdfunding, Lendwithcare, embargoover12, RCUK, EPSRC, EP/K039784/1",
author = "Salem Chakhar and Alessio Ishizaka and Andy Thorpe and Joe Cox and Thang Nguyen and Liz Meech",
year = "2020",
month = oct,
day = "16",
doi = "10.1016/j.ejor.2020.03.039",
language = "English",
volume = "286",
pages = "689--712",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Calculating the relative importance of condition attributes based on the characteristics of decision rules and attribute reducts: application to crowdfunding

AU - Chakhar, Salem

AU - Ishizaka, Alessio

AU - Thorpe, Andy

AU - Cox, Joe

AU - Nguyen, Thang

AU - Meech, Liz

PY - 2020/10/16

Y1 - 2020/10/16

N2 - Crowdfunding is the practice of funding a project or venture by raising monetary contributions from a large number of people, typically via the Internet. Lendwithcare is amongst the first crowdfunding platforms specifically dedicated to support individual and group entrepreneurs in developing countries through partner microfinance institutions. A key objective of Lendwithcare is to identify the attributes (i.e., the characteristics of crowdfunding projects in their online descriptions) that affect investors/potential investors when taking their investment decision. This paper proposes a decision rule-based approach to address this issue. This approach relies on the Dominance-Based Rough Approach (DRSA), which is a well-known multi criteria sorting method. The outputs of DRSA are a collection of if-then decision rules and a collection of attribute reducts. In this paper, new measures are proposed for calculating the relative importance of condition attributes based on the characteristics of decision rules and of attribute reducts. Decision rule-based measures are parameterised in order to consider the characteristics of decision rules using both learning and testing datasets. The proposed measures can be aggregated into a comprehensive measure indicating the overall importance of each condition attribute. Furthermore, the proposed measures are extended in order to compute the relative importance of a collection of condition attributes taken together. In addition, decision rule-based measures are extended to evaluate the relative importance of specific values of condition attributes. The proposed approach has been applied and validated using real-world data from Lendwithcare.

AB - Crowdfunding is the practice of funding a project or venture by raising monetary contributions from a large number of people, typically via the Internet. Lendwithcare is amongst the first crowdfunding platforms specifically dedicated to support individual and group entrepreneurs in developing countries through partner microfinance institutions. A key objective of Lendwithcare is to identify the attributes (i.e., the characteristics of crowdfunding projects in their online descriptions) that affect investors/potential investors when taking their investment decision. This paper proposes a decision rule-based approach to address this issue. This approach relies on the Dominance-Based Rough Approach (DRSA), which is a well-known multi criteria sorting method. The outputs of DRSA are a collection of if-then decision rules and a collection of attribute reducts. In this paper, new measures are proposed for calculating the relative importance of condition attributes based on the characteristics of decision rules and of attribute reducts. Decision rule-based measures are parameterised in order to consider the characteristics of decision rules using both learning and testing datasets. The proposed measures can be aggregated into a comprehensive measure indicating the overall importance of each condition attribute. Furthermore, the proposed measures are extended in order to compute the relative importance of a collection of condition attributes taken together. In addition, decision rule-based measures are extended to evaluate the relative importance of specific values of condition attributes. The proposed approach has been applied and validated using real-world data from Lendwithcare.

KW - Rough sets

KW - Dominance-based Rough Set Approach

KW - Relative importance

KW - Decision rules

KW - Attribute reducts

KW - Crowdfunding

KW - Lendwithcare

KW - embargoover12

KW - RCUK

KW - EPSRC

KW - EP/K039784/1

U2 - 10.1016/j.ejor.2020.03.039

DO - 10.1016/j.ejor.2020.03.039

M3 - Article

VL - 286

SP - 689

EP - 712

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 2

ER -

ID: 19882613