p40   Abg -> Avg   => done
p49-50 Forcasting  => done
ssum -> sum => done
p65 not to R^0 but to R^n => re calculate!

p4, p7 => jpj name
   membership-1/2.jpg
   temperature-of-beer.jpg

title -> Data Prossessing by Fuzzy => done

===
LaTeX
p04 Is this beer very cold -> delete, figure vertically enlarge
p07 title small
p16 remove "."
p17 figure horizontally larger -> Or other better table with identical meaning
        korol-0917.JPG => kuilbeda-4.jpg(Kil'beda-olga)/Gallery/2015-ccod
p39 add "to design rules" with red; also add avg and std from p41
p40 remove whole page
p41 add "to validate the rules: with red
p59 horrizontally smaller => done
exchange p65 <-> p67
add reference of cluster calgorithm

TGIF
p15 ymax remove
p16,18 re-try tgif in the near future
p48 blank line  &  tex: delete From the ... => done
p60 put s, t into C => done
p64 delete Repeat...,   Till...   beginning => p59 with renewed I => done
p60-p64 aij => black => done
add practice 3
      Time-series data prediction: 
         * create enough number of IF THEN rules from the 1st dataset
           IF x(t-5)is[ ] AND x(t-4)is [ ] ... X(t-1) THEN x(t) is y
         * Validate the rules by the 2nd dataset by plotting x(t) and y(t) 
add practice 5 => done
      Cluster alphabets of Russian/Roman/Japanese/Greek 
        (1) Create proximy matrix; 
        (2) Translate the matrix to R^0; 
        (3) repeat R^(n+1)=R^n o R^n till R^N and R^(N+1) becomes identical; 
        (4) Apply the algorithm to R^N with alpha=0.55 and cluster the alphabets;
        (5) Make (4) with alpha=0.4 and compare two results of clusters.



Sort milages in 2017-8 => kikked off
book hotel in roma (warsaw too if necesarry) booking.com => done