I want more than one example on this topic Definition 7.6.3 Let G be an interval-valued fuzzy graph. The closed neighborhood degree of x in G is defined by deg[x] = [degμ-[x], deg₁+[x]], where deg-[x] = deg-(x) + µÃ (x) deg+[x] = deg₁+ (x) + 쵆(x). If all the vertices have the same closed neighborhood degree m, then m is called a m-totally regular interval-valued fuzzy graph. Example 7.6.5 Consider a graph G* such that V = {V₁, V2, V3), E = {V₁ V2, V1V3}. Let A be an interval-valued fuzzy subset of V and let B be an interval-valued fuzzy subset of E defined by VI V2 V3 V1 V2 V1 V3 0.2 0.2 0.4 0.7 0.6 0.4 0.8 0.7 HB 0.3 0.4 It is easily shown that the interval-valued fuzzy graph G is neither regular nor totally regular.

Find the local max and min and draw the graph

The value y (in 1982–1984 dollars) of each dollar paid by consumers in each of the years from 1994 through 2008 in a country is represented by the ordered pairs. (1994, 0.677)         (1995, 0.655) (1996, 0.639)         (1997, 0.618) (1998, 0.609)         (1999, 0.605) (2000, 0.580)         (2001, 0.565) (2002, 0.557)         (2003, 0.542) (2004, 0.531)         (2005, 0.516) (2006, 0.499)         (2007, 0.478) (2008, 0.461)            (a) Use a spreadsheet software program to generate a scatter plot of the data. Let t = 4 represent 1994. Do the data appear linear? Yes or No    (b) Use the regression feature of the spreadsheet software program to find a linear model for the data. (Let t represent time. Round your numerical values to four decimal places.) y =      (c) Use the model to predict the value (in 1982–1984 dollars) of 1 dollar paid by consumers in 2010 and in 2013. (Round your answers to two decimal places.) 2010     $  2013 $  Discuss the…

The value y (in 1982–1984 dollars) of each dollar paid by consumers in each of the years from 1994 through 2008 in a country is represented by the ordered pairs. (1994, 0.675)         (1995, 0.654) (1996, 0.643)         (1997, 0.618) (1998, 0.611)         (1999, 0.599) (2000, 0.585)         (2001, 0.562) (2002, 0.559)         (2003, 0.539) (2004, 0.529)         (2005, 0.513) (2006, 0.493)         (2007, 0.482) (2008, 0.462)          (b) Use the regression feature of the spreadsheet software program to find a linear model for the data. (Let trepresent time. Round your numerical values to four decimal places.) y =   (c) Use the model to predict the value (in 1982–1984 dollars) of 1 dollar paid by consumers in 2010 and in 2011. (Round your answers to two decimal places.)