Demand Analysis with Aggregation Systems

Merigó, JM; Yang, JB; Xu, DL

Demand Analysis with Aggregation Systems

Merigó, JM Yang, JB Xu, DL

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: International Journal of Intelligent Systems, 2016, 31, (5), pp. 425-443
Issue Date:: 2016-05-01

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Field	Value	Language
dc.contributor.author	Merigó, JM
dc.contributor.author	Yang, JB
dc.contributor.author	Xu, DL
dc.date.accessioned	2021-02-23T12:24:09Z
dc.date.available	2021-02-23T12:24:09Z
dc.date.issued	2016-05-01
dc.identifier.citation	International Journal of Intelligent Systems, 2016, 31, (5), pp. 425-443
dc.identifier.issn	0884-8173
dc.identifier.issn	1098-111X
dc.identifier.uri	http://hdl.handle.net/10453/146361
dc.description.abstract	© 2015 Wiley Periodicals, Inc. The demand is a fundamental variable in economic analysis that measures the needs of goods and services of the consumers. This paper presents a new approach for representing the demand by using aggregation systems that consider the attitudinal character of the consumers and their beliefs regarding the degree of importance of the different variables that may affect them. Several developments are introduced by using multiperson systems, different criterion, attributes, and states of nature. These developments are focused on the use of the weighted average, the ordered weighted average, and the ordered weighted averaging weighted average. Further aggregation systems are suggested by using the concept of the demand growth. The paper ends with an application of the new approach in a forecasting process that considers the attitude of the decision maker and its subjective beliefs.
dc.language	English
dc.publisher	WILEY
dc.relation.ispartof	International Journal of Intelligent Systems
dc.relation.isbasedon	10.1002/int.21789
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Demand Analysis with Aggregation Systems
dc.type	Journal Article
utslib.citation.volume	31
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-23T12:24:07Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	31
utslib.citation.issue	5

Abstract:

© 2015 Wiley Periodicals, Inc. The demand is a fundamental variable in economic analysis that measures the needs of goods and services of the consumers. This paper presents a new approach for representing the demand by using aggregation systems that consider the attitudinal character of the consumers and their beliefs regarding the degree of importance of the different variables that may affect them. Several developments are introduced by using multiperson systems, different criterion, attributes, and states of nature. These developments are focused on the use of the weighted average, the ordered weighted average, and the ordered weighted averaging weighted average. Further aggregation systems are suggested by using the concept of the demand growth. The paper ends with an application of the new approach in a forecasting process that considers the attitude of the decision maker and its subjective beliefs.

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http://hdl.handle.net/10453/146361