Ex parte BONISSONE et al. - Page 5




          Appeal No. 96-4014                                                          
          Application 08/192,939                                                      

          obscure the basic fuzzy logic principles and that are unnecessary           
          to meeting the claim limitations.  It will help simplify the                
          analysis by noting Hisano is applied simply to show a fuzzy logic           
          controller that takes sensor inputs, performs fuzzy logic                   
          operations on them, and outputs the results as a control signal.            
          As a background of fuzzy logic for any judicial review, we cite             
          the article Fuzzy set and systems, in McGraw-Hill Encyclopedia of           
          Science & Technology (7th ed. 1992), pages 524-527.  This article           
          is not relied on to support the rejection and therefore does not            
          raise a new ground of rejection.  See In re Boon, 439 F.2d 724,             
          727-28, 169 USPQ 231, 234 (CCPA 1971) (standard work cited to               
          support an officially noticed fact which plays a minor role does            
          not raise a new ground of rejection).                                       
               To simplify the analysis we consider a single fuzzy computer           
          (FC) in Hisano, e.g., FC 2 in figures 1 and 3.  FC 2 is attached            
          to MPU 1 and to a plurality of sensors 6a and to FC 3.  FC 2                
          accepts the values of input variables (x1, y1 in the equation for           
          figure 2, col. 3, lines  55-56; x, y, and z in equation (1),                
          col. 5, line 26), via input controller 12.  Figure 2 illustrates            
          that the  values of some fuzzy input variables (e.g., x3, y3) are           
          obtained directly from sensors 6 (in dotted box 7), while the               
          values of other fuzzy input variables (the antecedents to the               
          rule, e.g., x1, y1) are obtained from the results of the                    
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