Abstract
This paper continues the analysis of the application of different triples of t-/s-norms and their results in the weighted fuzzy Petri nets for the subject area of passenger transport logistics. The analysis applies the range of 27 different triples of functions which are located in-between minimal (LtN, LtN, ZsN) and maximal (optimized) (ZtN, ZtN, LsN) triples. It also includes classical triple (ZtN, GtN, ZsN) which is located exactly in the middle of this range and remains a good starting point in the comparison of the achieved results. This paper includes a deeper look on the already achieved numerical values as well as decisions and proposes a new approach which will unleash the full potential of the net and applied triples of functions. The idea includes the conception of application of user’s expectation. Therefore, the decision-support system provides the results based not only on the input values which were previously filled by the experts in the corresponding subject area, but also on the expectations which can be either met or rejected in the process of calculation.
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Bloshko, Y., Suraj, Z., Olar, O. (2021). The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics. In: Ramanna, S., Cornelis, C., Ciucci, D. (eds) Rough Sets. IJCRS 2021. Lecture Notes in Computer Science(), vol 12872. Springer, Cham. https://doi.org/10.1007/978-3-030-87334-9_12
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