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A prototype store choice and location modelling system using Dempster–Shafer theory
Author(s) -
Bey Malcolm,
Griffiths Benjamin,
Marshall David
Publication year - 2002
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00214
Subject(s) - dempster–shafer theory , computer science , destinations , position (finance) , measure (data warehouse) , artificial intelligence , data mining , machine learning , operations research , mathematics , tourism , geography , finance , economics , archaeology
This paper concerns the study of destination choice modelling, more specifically identifying within some area (e.g. a city) the region where a particular store is the most favourable to be visited by individuals. An influence measure is constructed for each individual, which incorporates the modern technique known as Dempster–Shafer theory. Based on the evidence of the shopping destinations of individuals, geographical regions are found for levels of largest belief and plausibility (within Dempster–Shafer theory) for specific stores being the most favourable to visit. Additionally, this method may be used to identify the possible position of new stores, based on regions of most uncertainty or conflict in store choice. A prototype choice modelling system is introduced to enable the series of associated results to be easily visualized and analysed.