Towards a hybrid approach of primitive cognitive network process and fuzzy cognitive map for box office analysis

Nicole Yamei Zhou, Kevin Kam Fung Yuen

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

2 Citations (Scopus)

Abstract

Box office analysis is critical to make profitable movies. Various factors have different influences on box office sales. This paper combines Primitive Cognitive Network Process (PCNP) and Fuzzy Cognitive Map (FCM) to measure and analyze the factors of box office. PCNP is a revised approach of Analytic Hierarchy Process (AHP) to quantify the weights of factors to construct a concept in FCM. FCM is used to simulate the influences of the concepts in the network. The proposed hybrid approach can enhance the evaluation and. To show the applicability of PCNP-FCM, an example of box office analysis is illustrated.

Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1049-1053
Number of pages5
ISBN (Electronic)9781479920723
DOIs
Publication statusPublished - 4 Sept 2014
Event2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China
Duration: 6 Jul 201411 Jul 2014

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Country/TerritoryChina
CityBeijing
Period6/07/1411/07/14

Keywords

  • box office analysis
  • fuzzy cognitive map
  • model analysis
  • pairwise comparisons

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