Volume 23, Issue 4 (IJIEPM 2013)                   2013, 23(4): 431-445 | Back to browse issues page

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Tahsiri A R, kheiri N. A Fuzzy-Genetic method for organizing projects based upon post-studio fashion of filmmaking. Journal title 2013; 23 (4) :431-445
URL: http://ijiepm.iust.ac.ir/article-1-423-en.html
, tahsiri@kntu.ac.ir
Abstract:   (10279 Views)
Since the middle of the twentieth century, managers of enterprises have been encountering enormous changes in all aspects of business and manufacturing environment. Also, a structural change has appeared within the filmmaking management requirements which differs totally from what has been before. On the other hand the filmmaking industries are a vital sector of the economics in many advanced countries .As a consequence, this has got them involved in looking for new methods and approaches which will be able to assist the decision process within the competitive surroundings. With regards to the above, the central question of most societies working on organizing and planning the filmmaking projects has come around how to respond to new themes within a modern area in which the investors, producers as well as the audiences find a good track of deed dealing with their own specific interests. The core study of this research proposes a new method of locating the crew aptly with the existing tasks within a filmmaking project which is organized based upon post-studio fashion of producing films. The main outcome of this study is an innovative fuzzy model which integrates consistent features for hierarchical searching the choices of decision through the existing "positions” and a given number of accessible people, enumerating a number of combination of “task- person” as paired options by a responsive mathematical model of people’s various capabilities and ranking them based on producers’ desired criteria, and then finally selecting an optimum collection of options by a fuzzy genetic algorithm (FGA). To show the working structure of the method in the real situation, a numerical simulation is developed in addition.
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Type of Study: Research | Subject: Application of Fuzzy models
Received: 2010/11/4 | Accepted: 2013/03/10 | Published: 2013/03/10

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