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Information Journal Paper

Title

DESIGNING AN ADAPTIVE NUERO-FUZZY INFERENCE SYSTEM FOR EVALUATING THE BUSINESS INTELLIGENCE SYSTEM IMPLEMENTATION IN SOFTWARE INDUSTRY

Pages

  85-104

Abstract

 The main goal of research is designing an ADAPTIVE NUERO-FUZZY INFERENCE SYSTEM for evaluating the implementation of BUSINESS INTELLIGENCE systems in software industry. Iranian software development organizations have been facing a lot of problems in case of implementing BUSINESS INTELLIGENCE systems. This system would be helpful in recognizing the conditions and prerequisites of success or failure. Organizations can recalculate the neuro-fuzzy system outputs with some considerations on various inputs to figure out which inputs have the most effect on the implementation outputs. By resolving the problems on inputs, organizations can achieve a better level of implementation success. The designed system has been trained by a data set and afterwards, it has been evaluated. The trained system has reached the error value of 0.08. Eventually, some recommendations have been provided for software development firms on the areas that might need more considerations and improvements.

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    APA: Copy

    RAEESI VANANI, IMAN, & GANJALIKHAN HAKEMI, FATEMEH. (2015). DESIGNING AN ADAPTIVE NUERO-FUZZY INFERENCE SYSTEM FOR EVALUATING THE BUSINESS INTELLIGENCE SYSTEM IMPLEMENTATION IN SOFTWARE INDUSTRY. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 7(1), 85-104. SID. https://sid.ir/paper/140469/en

    Vancouver: Copy

    RAEESI VANANI IMAN, GANJALIKHAN HAKEMI FATEMEH. DESIGNING AN ADAPTIVE NUERO-FUZZY INFERENCE SYSTEM FOR EVALUATING THE BUSINESS INTELLIGENCE SYSTEM IMPLEMENTATION IN SOFTWARE INDUSTRY. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2015;7(1):85-104. Available from: https://sid.ir/paper/140469/en

    IEEE: Copy

    IMAN RAEESI VANANI, and FATEMEH GANJALIKHAN HAKEMI, “DESIGNING AN ADAPTIVE NUERO-FUZZY INFERENCE SYSTEM FOR EVALUATING THE BUSINESS INTELLIGENCE SYSTEM IMPLEMENTATION IN SOFTWARE INDUSTRY,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 7, no. 1, pp. 85–104, 2015, [Online]. Available: https://sid.ir/paper/140469/en

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