The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics

被引:1
|
作者
Bloshko, Yurii [1 ]
Suraj, Zbigniew [1 ]
Olar, Oksana [2 ]
机构
[1] Rzeszow Univ, Inst Comp Sci, Rzeszow, Poland
[2] Yuriy Fedkovych Chernivtsi Natl Univ, Chernovtsy, Ukraine
来源
ROUGH SETS (IJCRS 2021) | 2021年 / 12872卷
关键词
Decision-making system; Intelligent computational techniques; Weighted fuzzy Petri net; Triangular norms; Knowledge representation; Transport logistic problem;
D O I
10.1007/978-3-030-87334-9_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:134 / 148
页数:15
相关论文
共 2 条
  • [1] Towards Optimization of Triangular Norms in Weighted Fuzzy Petri Nets for Hierarchical Applications in Subject Area of Passenger Transport Logistics
    Bloshko, Yurii
    Suraj, Zbigniew
    Olar, Oksana
    IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE), 2021,
  • [2] Hierarchical weighted fuzzy Petri nets and their application for transport logistics problem
    Suraj, Z.
    Bloshko, Y.
    Olar
    DEVELOPMENTS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN COMPUTATION AND ROBOTICS, 2020, 12 : 404 - 411