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Gorkhmaz Imanov, Asif Aliyev : Fuzzy Linguistic Forecasting of Social Mobility



                    In the graph    (i = 1,...,5) denotes economic strata of population ,    (j = 1,...,3) –
                                    
                                                                                          
                    years  of  analysis,     (i  =  1,...,5;j  =  1,…,3)  –  number  of  people  in  the  economic
                                           
                                                      ∗
                    strata in the corresponding year,      and       - portion of people moving to other
                                                                   
                                                          
                    strata and remaining in the same strata respectively.

                    It  is  obvious  that,  in  all  cases  between  social  strata  the  number  of  ascending
                    movements equals the number of descending movements.

                    Since  the  phenomenon  of  social  mobility  is  consistent  with  the  Markov  chain
                    process,  this  theory  is  used  to  forecast  social  mobility  see  Zadeh  (1976),  G.  J.
                    Imanov and Akperov (2013), Cheong and Hui (2001).

                    Consequently, G. S. Fields and E. A. Ok mobility indices, estimated for each socio-
                    economic strata have to be fuzzified primarily see İmanov and et all (2003), Zadeh
                    (1975).  Assuming the mobility index is a linguistic variable, the  range of obtained
                    mobility  data  can  be  divided  into  three  intervals:  L(0-0.12),      M(0.11-0.26),
                    H(0.24-0.38).

                    Where, L – low, M – medium, H – high are linguistic terms.  In other words, the
                    mobility variables get their values within these intervals. We can assume the fuzzy
                    interpretation of these linguistic variables according to membership functions given
                    below:

                        = 1/0 + 0.7/0.03 + 0.5/0.04 + 0.2/0.07 + 0/0.10
                       
                        = 0.1/0.11 + 0.4/0.14 + 1/0.19  + 0.6/0.22 + 0/0.25
                       
                        = 0/0.26 + 0.2/0.28 +  0.4/0.30 + 0.7 /0.35 + 1/0.38
                       
                        = 1/0 + 0.49/0.03 + 0.25/0.04 + 0.04/0.07 + 0/0.10
                         
                             = 0.01/0.11 + 0.16/0.14 + 1/0.19  + 0.36/0.22 + 0/0.25
                             = 0/0.26 + 0.04/0.28 +  0.16/0.30 + 0.49 /0.35 + 1/0.38

                    Where,  added    VL  –  very  low,  VM  –  very  medium,  VH  –  very  high    are
                    concentrated forms of the above given terms.

                    The status vector    2017  = (0, 0.04, 0.38, 0.11, 0.03)   of social mobility indices  in
                    the  economic  strata  for  the  last  period  (2017)  is  in  line  with  the  linguistic  social
                    mobility vector (VL, L,VH, VM, L).

                    According to the analysis of Figure 1. the matrix of transition from one economic
                    stratum to another can be represented as follows:



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