A fuzzy logic can be situated quantitatively represented by conveying a evaluation of relationship in the fuzzy set to each potential speaker in the discourse universe. Any discipline of science, engineering, medicine, or administration cannot eliminate the element of uncertainty. According to research, the built environment has a variety of effects on blood cancer, including direct effects like physical activity as well as indirect effects like housing affordability, job accessibility, social capital, etc. Transportation-related strategies and policies influence the built environment. Such programmes and regulations have a big impact on blood cancer. The implications of mobility choices a blood cancer is gaining more and more attention. Recently, transportation planners and blood cancer specialists started looking for methods to cooperate. To include health in transportation design, two key issues regarding the effects of transportation and blood cancer must be addressed. First, it is impossible to determine with precision how transportation affects human health (Kjelstrom, Kerkhof, Bamer, & McMichael, 2003). Second, because it is subjective and inherently ambiguous, physical, social, and mental well-being cannot be simply measured (Massad, Baros, & Struchinner, 2009). Two different approaches to dealing with uncertainty are mentioned by Goodchild (1999); the first is the use of statistical and probability theory, and the usage of fuzzy sets or fuzzy logic is the second. First method requires an in-depth knowledge of statistical theory. (G.child, 1999, p. 5). In addition, because statistical methods are based on Boolean logic, they do not discourse the uncertainty in the idiosyncratic assessment of strength state (Masad, Baros, & Struchinner, 2009). The primary area of operation research, transportation problem, focuses on the distribution of commodities and services from various supply origins to various demand destinations. Real-world transportation planning frequently involves imprecise/fuzzy decision-making due to insufficient or unavailable knowledge regarding input data and related characteristics, such as supply availability and predicted demand. The treatment for blood cancer has been approximatively solved utilizing the fuzzy transportation issue in this article using fuzzy trapezoidal numbers.