Multiple Internet of Intelligences for Risk Analysis

In this study, we define a multiple Internet of intelligences (M-IOI) as the processing of homological information in layers. If agents in an M-IOI not only provide information in response to a question asked by a customer but also review information from other agents and summarize it, we refer to this as a summarizing M-IOI. The fuzzy mathematics method of normal diffusion is suggested to transform the summaries into fuzzy sets so that a satisfactory answer to the question is given. A summarizing M-IOI is used in a case study of typhoon dynamic risk in Wenzhou, China, where an insurance company wants to know whether the level of the risk will increase significantly. The effective knowledge in a summarizing M-IOI is measured to evaluate the quality of the answer. We also discuss the relation between IOIs and a global brain.

[1]  Erik T. Mueller,et al.  Watson: Beyond Jeopardy! , 2013, Artif. Intell..

[2]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[3]  Chongfu Huang Internet of Intelligences in Risk Analysis for Online Services , 2011 .

[4]  Claudio Moraga,et al.  A diffusion-neural-network for learning from small samples , 2004, Int. J. Approx. Reason..

[5]  Lotfi A. Zadeh,et al.  Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..

[6]  L. A. ZADEH,et al.  The concept of a linguistic variable and its application to approximate reasoning - I , 1975, Inf. Sci..

[7]  Emil Badilescu-Buga,et al.  Knowledge behaviour and social adoption of innovation , 2013, Inf. Process. Manag..

[8]  Zhijun Tong,et al.  Information diffusion-based spatio-temporal risk analysis of grassland fire disaster in northern China , 2010, Knowl. Based Syst..

[9]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[10]  Laijun Zhao,et al.  Risk Analysis of Dangerous Chemicals Transportation , 2007 .

[11]  Chongfu Huang,et al.  Principle of information diffusion , 1997, Fuzzy Sets Syst..

[12]  Huang Chong-fu,et al.  Principle of information diffusion , 1997 .

[13]  Hiroshi Inoue,et al.  Soft risk maps of natural disasters and their applications to decision-making , 2007, Inf. Sci..

[14]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[15]  Jun Guo,et al.  Fuzzy risk analysis of flood disasters based on diffused-interior-outer-set model , 2012, Expert Syst. Appl..

[16]  Chongfu Huang,et al.  Information Diffusion Techniques and Small-Sample Problem , 2002, Int. J. Inf. Technol. Decis. Mak..