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Thus, our fuzzy inference system could increase fuzzy cost as number of friends per route increases.
A fuzzy cost evaluation function that combines different routing metrics such as remaining node battery, node queue length, and the signal strength between two intermediate nodes is used to select the route with the minimum fuzzy cost value.
The output of the fuzzy cost function is modified to crisp value as per this defuzzification method [19].
The trend shows that the value of output fuzzy cost increases when the value of F and FF are increasing.
Figure 5 Fuzzification of three input variables (friends, friends-of-friends, and non-friends) and output variable (fuzzy cost).
The path has this fuzzy cost because of its high rate of friends and the sparse distribution of non-friend vehicles.
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Then the crisp equivalents are derived when the fuzzy costs are characterized by trapezoidal fuzzy numbers.
Though there are some research works on TSP incorporating fuzzy costs [4, 5, 17], none has solved GTSP in a fuzzy environment.
In this paper, in order to consider the real-life condition of railways, a mathematical model with fuzzy costs is proposed for train formation planning in Iranian railway.
Jeff Moss, co-owner of contract manufacturer Quality Circuit Assembly in San Jose, California, said many U.S. companies underestimate the sometimes fuzzy costs of moving their production abroad.
Figure 6 Correlation between input variables (friends and non-friends) and output (fuzzy-cost).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com