This undergraduate textbook offers a self-contained and concise introduction to measure theory
and integration. The author takes an approach to integration based on the notion of
distribution. This approach relies on deeper properties of the Riemann integral which may not
be covered in standard undergraduate courses. It has certain advantages notably simplifying
the extension to fuzzy measures which is one of the many topics covered in the book. This book
will be accessible to undergraduate students who have completed a first course in the
foundations of analysis. Containing numerous examples as well as fully solved exercises it is
exceptionally well suited for self-study or as a supplement to lecture courses.
