Application of decision-making expert systems in transportation

7Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

This paper discusses the problem of risk estimate and choice of the rational variants in the transportation using expert information systems. The pairwise comparison method (Saaty’s method) is used to determine the weights of chosen criteria. An example is given that compares logistic risks in shipping, railway and aviation transport. The input data are taken in the example are formal and can be chosen for the concrete problems. This example is solved by both non-fuzzy and fuzzy approach. It is shown that with the set of data in the railway transport is the optimal option. The results demonstrate the efficiency of the proposed method.

References Powered by Scopus

Multi-Agent Systems: Simulation and Applications

115Citations
N/AReaders
Get full text

Development and application of a multi-criteria spatial decision support system for planning sustainable industrial areas in Northern Spain

54Citations
N/AReaders
Get full text

Cargo Securing during Transport Depending on the Type of a Road

30Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Use of 3D Printing in Support of Personnel Protection during Covid Pandemic

2Citations
N/AReaders
Get full text

SYNCHRONIZING CHAOS: EXPLORING ATTRACTIVE SETS IN A NOVEL 4D HYPERCHAOTIC LORENZ MODEL

0Citations
N/AReaders
Get full text

MODELLING OF INTERNAL TRANSFORMATIONS OF GAS PHASE IN POROUS MEDIA

0Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Gasimov, Y., Pashayev, A., Azizov, B., Agamalieva, L., Lacinová, V., & Šmerek, M. (2019). Application of decision-making expert systems in transportation. Nase More, 66(3), 130–134. https://doi.org/10.17818/NM/2019/3.5

Readers over time

‘19‘20‘23‘2402468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

44%

Professor / Associate Prof. 3

33%

Lecturer / Post doc 1

11%

Researcher 1

11%

Readers' Discipline

Tooltip

Engineering 6

50%

Computer Science 3

25%

Mathematics 3

25%

Save time finding and organizing research with Mendeley

Sign up for free
0