Abstract
Here, we consider a network, whose arc lengths are intervals or triangular fuzzy numbers. A new comparison technique based on the expected value of intervals and triangular fuzzy numbers is introduced. These expected values depend on a parameter which reflects the optimism/pessimism level of the decision-maker. Moreover, they can be used for negative intervals or triangular fuzzy numbers.
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Nayeem, S.M.A. (2014). A New Expected Value Model for the Fuzzy Shortest Path Problem. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_23
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DOI: https://doi.org/10.1007/978-81-322-1602-5_23
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