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‘Quality & Popularity’ Prediction Modeling of TV Programme through Fuzzy QFD Approach

Savitur Prakash1 and Manuj Darbari2
1. Department of Engineering, Doordarshan Kendra (TV station), Lucknow, India Uphar-268, Eldeco-Udyan-1; Bhadrukh, Lucknow- 226002, India
2. Department of Information Technology, BBDNITM, Lucknow, India # A-649, Indira Nagar, Lucknow-226016, India

Abstract—In this paper we tried to dwell on to the problem of identifying the most important ‘Quality and Popularity contributing factors’, which plays an important role in deciding the ‘Popularity’ of a TV production. We first tried to identify correctly the most important ‘Quality and popularity’ contributing factors of a TV programme which makes the TV programme more popular and successful, and then applied the knowledge of a most suitable scientific technique i.e. Fuzzy QFD in our situation, which would successfully incorporate these identified factors by establishing a proper correlation between these factors and the relative engineering requirements which used to effects these factors mostly if not considered at the time of production of the TV programme, and lastly we analyze our findings by simulating a most approximate ‘fuzzy inference rule’ based ‘Quality and Popularity’ prediction model. Our model would rather help in deciding the best combination of identified characteristic, for which ‘Quality & popularity’ of the said TV programme will be predictable on a suitable linguistic scale, and could be kept high by maintaining the minimum required threshold of different identified characteristics.

Index Terms—Fuzzy Quality Function Deployment (FQFD), House of Quality (HOQ), Fuzzy Inference mechanism (FIM), TV Production (Television program production)

Cite: Savitur Prakash and Manuj Darbari, "‘Quality & Popularity’ Prediction Modeling of TV Programme through Fuzzy QFD Approach," Journal of Advances in Information Technology, Vol. 3, No. 2, pp. 77-90, May, 2012.doi:10.4304/jait.3.2.77-90