A decision rule approach for analysing the attractiveness of crowdfunding projects

Joe Cox; Thang Nguyen; Andy Thorpe; Alessio Ishizaka; Salem Chakhar; Liz Meech

A decision rule approach for analysing the attractiveness of crowdfunding projects

Joe Cox, Thang Nguyen, Andy Thorpe, Alessio Ishizaka, Salem Chakhar, Liz Meech

Research output: Contribution to conference › Paper › peer-review

Abstract

The objective of this paper is to analyse the attractiveness of crowdfunding projects. First, a priori and posteriori information are used to assign the projects into a set of ordered attractiveness classes. Subsequently, a well-known multi-criteria sorting method, namely the Dominance-based Rough Set Approach (DRSA), is used to generate a collection of if-then decision rules that permit us to summarise and generalise the information provided to investors. The dataset used for illustration is obtained from the crowdfunding platform Lendwithcare.

Original language	English
Pages	1-20
Publication status	Published - 23 Aug 2016
Event	OR58 Annual Conference: The Operational Research Society Annual Conference 2016 - University of Portsmouth, Portsmouth, United Kingdom Duration: 6 Sept 2016 → 8 Sept 2016

Conference

Conference	OR58 Annual Conference
Country/Territory	United Kingdom
City	Portsmouth
Period	6/09/16 → 8/09/16

Keywords

Crowdfunding
Attractiveness
Dominance Rough Set Approach
Lendwithcare

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http://www.theorsociety.com/Pages/Conferences/OR58/OR58.aspx

Cite this

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title = "A decision rule approach for analysing the attractiveness of crowdfunding projects",

abstract = "The objective of this paper is to analyse the attractiveness of crowdfunding projects. First, a priori and posteriori information are used to assign the projects into a set of ordered attractiveness classes. Subsequently, a well-known multi-criteria sorting method, namely the Dominance-based Rough Set Approach (DRSA), is used to generate a collection of if-then decision rules that permit us to summarise and generalise the information provided to investors. The dataset used for illustration is obtained from the crowdfunding platform Lendwithcare.",

keywords = "Crowdfunding, Attractiveness, Dominance Rough Set Approach, Lendwithcare",

author = "Joe Cox and Thang Nguyen and Andy Thorpe and Alessio Ishizaka and Salem Chakhar and Liz Meech",

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AU - Cox, Joe

AU - Nguyen, Thang

AU - Thorpe, Andy

AU - Ishizaka, Alessio

AU - Chakhar, Salem

AU - Meech, Liz

N1 - ISBN: 978-0-903440-60-8

PY - 2016/8/23

Y1 - 2016/8/23

N2 - The objective of this paper is to analyse the attractiveness of crowdfunding projects. First, a priori and posteriori information are used to assign the projects into a set of ordered attractiveness classes. Subsequently, a well-known multi-criteria sorting method, namely the Dominance-based Rough Set Approach (DRSA), is used to generate a collection of if-then decision rules that permit us to summarise and generalise the information provided to investors. The dataset used for illustration is obtained from the crowdfunding platform Lendwithcare.

AB - The objective of this paper is to analyse the attractiveness of crowdfunding projects. First, a priori and posteriori information are used to assign the projects into a set of ordered attractiveness classes. Subsequently, a well-known multi-criteria sorting method, namely the Dominance-based Rough Set Approach (DRSA), is used to generate a collection of if-then decision rules that permit us to summarise and generalise the information provided to investors. The dataset used for illustration is obtained from the crowdfunding platform Lendwithcare.

KW - Crowdfunding

KW - Attractiveness

KW - Dominance Rough Set Approach

KW - Lendwithcare

M3 - Paper

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T2 - OR58 Annual Conference

Y2 - 6 September 2016 through 8 September 2016

ER -

A decision rule approach for analysing the attractiveness of crowdfunding projects

Abstract

Conference

Keywords

Access to Document

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Cite this