scholarly journals Airline seat management with round-trip requests

2004 ◽  
Vol 14 (2) ◽  
pp. 155-170
Author(s):  
Peng-Sheng You

Consider a multi-period multi-fare class airline booking problem related to a two-leg airline network. Travel requests include outbound, inbound trip, and round trips. The round-trip refers to a journey comprising both outbound and inbound trips. To develop a dynamic-nested booking decision-making system for the airline network, this study designs a dynamic model that enables the airline reservations system to devise a set of dynamic decision rules for any given booking status. The booking process is found to be controlled by some set of booking thresholds.

2004 ◽  
Vol 14 (01) ◽  
pp. 57-68 ◽  
Author(s):  
ELSAYED RADWAN ◽  
EIICHIRO TAZAKI

We purpose to find a new beneficial method for accelerating the Decision-Making and classifier support applied on imprecise data. This acceleration can be done by integration between Rough Sets theory, which gives us the minimal set of decision rules, and the Cellular Neural Networks. Our method depends on Genetic Algorithms for designing the cloning template for more accuracy. Some illustrative examples are given to demonstrate the effectiveness of the proposed method, whose advantages and limitations are also discussed.


2021 ◽  
Vol 6 (2(62)) ◽  
pp. 6-9
Author(s):  
Oksana Mulesa ◽  
Yurii Bilak ◽  
Yevhenii Kykyna ◽  
Dmytro Ferens

The research is devoted to the development of rules for the coordination of decisions in multichannel decision-making systems. Systems are considered that in an automated continuous mode process incoming signals from different channels and, on their basis, make the final decision. One of the most problematic stages in the operation of such systems is their own coordination of solutions received from different channels. There may be cases where different channels provide signals with opposite values. Then the choice of the decisive solution should depend on the reliability of the channels under consideration. The object of research is the processes that take place during the coordination of decisions in multichannel decision-making systems. The development and implementation of such systems will allow in an automated mode to generalize the solution obtained through different channels, to increase the reliability and efficiency of the systems as a whole. During the study, the following methods were used: – a systematic approach – when analyzing the structure and functioning of multichannel one-stage decision-making systems; – method of mathematical modeling – for formalizing the problem of coordinating decisions in multichannel decision-making systems; – method of analysis – when developing rules for agreeing decisions. The authors analyzed the structure of a one-stage multichannel decision-making system. The case is considered when the channels, based on the initial data entering the system, decide on the presence or absence of a certain fact. That is, the channels send signals from the set {True, False}. In the study, decision rules for the coordination of decisions were developed, taking into account not only the signals received from different channels, but also the reliability of the channels themselves. As is usual in decision theory, different rules can give different results for the same initial data. The choice of the decision rule depends on the decision maker, its personal psychological qualities and the scope of the system.


2019 ◽  
Vol 20 (1) ◽  
pp. 61-77
Author(s):  
Li Zhang ◽  
Xulu Xue

Abstract “Rough set” is a theory put forward by the polish scholar Z. Pawlak, which is a useful mathematics tool for dealing with vague and uncertain information. Rough set theory can achieve a subset of all attribute which preserves the discernible ability of original features, by using the data only with no additional information. As a typical system of multi-agent, the decision-making system of soccer robot has the features of multi-layered, antagonism, and cooperation. On the bases of rough set theory, this paper established a decision making system with complete information for soccer robot, and then reduce the condition and decision attributes and their values, to get the simply decision rules. On the otherwise, considering the situation of information loss, we study decision making of imperfect information system, extract the decision rules and calculate the reliability, so that the rules can assist the agent to make right decision in competition. The simulation result shows that the algorithm is correct and effective.


2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  

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