Fuzzy approach for determining the competitiveness of innovative project
The article is devoted to the management of innovative projects based on the fuzzy set theory. The project management process based on competitive advantage theory was investigated. Economic, human, and material factors, as well as technical resources, the time factor, and personalization features, influence the creation of a competitive project. The authors summarized the scheme of interconnection of project implementation resources in order to determine their volume depending on the available resources. Based on the variation of indicators, a fuzzy model was developed taking into consideration the impact of execution period, trends and personalization. Fuzzy rules were developed to evaluate the rationale for implementing an innovation project on the basis of available resources to determine the optimal or most competitively attractive innovation project. Fuzzy logic rules were developed to evaluate the rationale for the project competitive ability. Evaluating the factors and competitive ability of the implemented projects, which allows making reasonable managerial decisions, is the main purpose of the practical implementation of the proposed model.
History
School
- Loughborough Business School
Published in
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)Pages
718 - 723Source
2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)Publisher
IEEEVersion
- VoR (Version of Record)
Rights holder
© IEEEPublisher statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Acceptance date
2019-09-07Publication date
2019-12-05Copyright date
2019ISBN
9781728140698; 9781728140681; 9781728140704Publisher version
Language
- en