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Title:      INVESTIGATION OF ELEMENTS FOR LEADERSHIP BY HYBRID INTELLIGENT SYSTENMS
Author(s):      Yuya Ushida, Keiki Takadama, Minjie Zhang
ISBN:      978-972-8939-31-1
Editors:      Piet Kommers, Tomayess Issa and Pedro Isaías
Year:      2010
Edition:      Single
Keywords:      Adaptive Neuro Fuzzy Inference System, Genetic Fuzzy System, Leadership, Barnga, Hybrid intelligent systems
Type:      Full Paper
First Page:      83
Last Page:      90
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      This paper explores an element that is required for a leader by hybrid artificial intelligence systems. To investigate such elements, we utilize Adaptive Neuro Fuzzy Inference System (ANFIS) and Fuzzy genetic systems. We created training dataset for the hybrid intelligent systems based on our previous studies. After intensive analysis on learning the patterns of a leader’s performance by the hybrid systems, we have revealed the following implications: (1) to rely on others makes a positive difference to leader’s decision making, whereas (2) to consider how much a leader cares about who complains to whom affects negatively the decision making.
   

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