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| Title: | FUZZY BASED SELECTION OF PATHS IN A DECISION TREE WITH IMPRECISION AND PARTIAL SPECIFICATION | |
| DOI No: | 10.1142/9781860948534_0059 | |
| Source: | INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 377-381) | |
| Author(s): | RAMESH VASAPPANAVARA
Dept. of Computer Science & Engineering, GVP College of Engineering, Visakhapatnam, India D. RAVI Dept. of Computer Science & Engineering, GVP College of Engineering, Visakhapatnam, India V. GAUTAM BITS Pilani, India V. ANAND IISC, Bangalore, India |
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| Abstract: | Estimation of costs, effort, and duration and other parameters for a large, complex, multi-layered, project management is a difficult process, requiring effective forecasting tools under imprecision and partial truths. This task becomes all the more important when a company is embarking on a new project with no history data base backing or it is a start up company. This paper presents a fuzzy based approach wherein selection of next node in a decision tree is not restricted to predefined node in a DSS tree as in a conventional Decision tree System, but affords selection of virtual decision node lying in between two nodes in a DSS tree. | |
| Full Text: | View full text in PDF format (229KB) | |
| TOC: | Back to Table of Contents | |
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