Patent Document ID: 8255353
Application ID: 12377489
Patent Flag: 1

Claim One:
1. A method for constructing an intelligent system for processing the uncertain causality information, the method includes: representing the causalities among the things in the explicit representation mode, specifically including the following steps: (1) Establish, by at least one processor, a representation system about the various cause variables V i and consequence variables X n in concern with the problem to be solved, wherein: {circle around (1)} Let V represent two type variables B and X, i.e. V∈{B,X}, in which B is the basic variable that is only the cause variable and X is the consequence variable that can be also the cause variable of the other consequence variables; {circle around (2)} No matter the states of the variable V i or X n are discrete or not, represent them all as the discrete or fuzzy discrete states, so as to be dealt with by using the same manner, that is, represent the different states of V i and X n as V ij and X nk respectively, where i and n index variables while j and k index the discrete or fuzzy discrete states of the variables; {circle around (3)} When V i or X n is continuous, the membership of an arbitrary value e i of V i or e n of X n , belonging to V ij or X nk respectively, is m ij (e i ) or m nk (e n ) respectively, and they satisfy ∑ j ⁢ ⁢ m ij ⁡ ( e i ) = 1 ⁢ ⁢ and ⁢ ⁢ ∑ j ⁢ ⁢ m ij ⁡ ( e i ) = 1 ; {circle around (4)} V ij and X nk are treated as events, i.e., V ij represents the event that V i is in its state j and X nk represents the event that X n is in its state k; meanwhile, if j≠j′ and k≠k′, V ij is exclusive with V ij′ and X nk is exclusive with X nk′ ; {circle around (5)} If i≠i′, B ij and B ij′ are independent events, and their occurrence probabilities b ij satisfies ∑ j ⁢ ⁢ b ij ≤ 1 ; (2) For the consequence variable X n , determine, by the at least one processor, its direct cause variables V i , i∈S EXn , S EXn is the index set of the {B,X} type direct variables of X n in the explicit representation mode; (3) The functional variable F n;i is used, by the at least one processor, to represent the causality between V i , i∈S EXn , and X n. V i is the input or cause variable of F n;i and X n is the output or consequence variable of F n;i , wherein: {circle around (1)} The causality uncertainty between V i and X n is represented by the occurrence probability f nk;ij of the specific value F nk;ij of F n;i. F nk;ij is a random event representing the uncertain functional mechanism of V ij causing X nk. f nk;ij is the probability contribution of V ij to X nk ; {circle around (2)} f nk;ij =(r n;i /r n )a nk;ij , where r n;i is called the relationship between V i and X n , r n is the normalization factor and r n = ∑ i ⁢ ⁢ r n ; i , a nk ; ij is the probability of the event that V ij causes X nk regardless of any other cause variables and a nk;ij and r n can be the function of time; {circle around (3)} a nk;ij satisfies ∑ k ⁢ ⁢ a nk ; ij ≤ 1 ; ◯ ⁢ 4 ⁢ ⁢ Pr ⁢ { X nk } = ∑ i , j ⁢ ⁢ f nk ; ij ⁢ Pr ⁢ { V ij } .