scholarly journals A Hierarchical Decision-Making Method with a Fuzzy Ant Colony Algorithm for Mission Planning of Multiple UAVs

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 226
Author(s):  
Lin Zhang ◽  
Yian Zhu ◽  
Xianchen Shi
Keyword(s):  
Decision Making ◽  
Cooperative Communication ◽  
Ant Colony Algorithm ◽  
Communication Strategy ◽  
Mission Planning ◽  
Ant Colony ◽  
Hierarchical Decision Making ◽  
Multiple Uavs ◽  
Single Target ◽  
Hierarchical Decision

Unmanned aerial vehicles (UAVs) received an unprecedented surge of people’s interest worldwide in recent years. This paper investigates the specific problem of cooperative mission planning for multiple UAVs on the battlefield from a hierarchical decision-making perspective. From the view of the actual mission planning issue, the two key problems to be solved in UAV collaborative mission planning are mission allocation and route planning. In this paper, both of these problems are taken into account via a hierarchical decision-making model. Firstly, we use a target clustering algorithm to divide the original targets into target subgroups, where each target subgroup contains multiple targets. Secondly, a fuzzy ant colony algorithm is used to calculate the global path between target subgroups for a single-target group. Thirdly, a fuzzy ant colony algorithm is also used to calculate the local path between multiple targets for a single-target subgroup. After three levels of decision-making, the complete path for multiple UAVs can be obtained. In order to improve the efficiency of a collaborative task between different types of UAVs, a cooperative communication strategy is developed, which can reduce the number of UAVs performing tasks. Finally, experimental results demonstrate the effectiveness of the proposed cooperative mission planning and cooperative communication strategy for multiple UAVs.

scholarly journals Hierarchical Decision-Making Problems – Modeling and Solutions

2016 ◽  
Vol 8 (1) ◽  
pp. 311-324
Author(s):  
Tadeusz Krupa ◽  
Teresa Ostrowska
Keyword(s):  
Decision Making ◽  
Critical Infrastructure ◽  
A Priori ◽  
Organizational Structures ◽  
The State ◽  
Hierarchical Decision Making ◽  
University Of Technology ◽  
Hierarchical Decision ◽  
Decision Making Processes ◽  
Key Issues

Abstract Article illustrates the state of the work conducted at the Faculty of Management Warsaw University of Technology on the issue of modeling hierarchical decision-making problems in the context of administrative and infrastructural conditions of the various forms of public safety. The aim is to develop a universal methodology of conduct for the management needs of the public administration, whose powers are focused on maintaining the continuity of the critical infrastructure of the State. The key issues covered by the article are: modeling of hierarchical issues and decision-making processes in the multi-layered organizational structures; harmonization of scales significance of decisionmaking areas with significance weights of elementary decisions in these decision areas; and a priori contradictions of elementary decisions from different decision areas and value assessments of taken problem decisions.

ENHANCING CONSENSUS UNDER OPINION BIAS BY MEANS OF HIERARCHICAL DECISION MAKING

2013 ◽  
Vol 16 (06) ◽  
pp. 1350020 ◽  
Author(s):  
NICOLAS PERONY ◽  
RENÉ PFITZNER ◽  
INGO SCHOLTES ◽  
CLAUDIO J. TESSONE ◽  
FRANK SCHWEITZER
Keyword(s):  
Decision Making ◽  
Hierarchical Structures ◽  
Consensus Formation ◽  
Hierarchical Decision Making ◽  
Organizational Policies ◽  
Final Population ◽  
Bounded Confidence ◽  
Hierarchical Decision ◽  
The Impact

We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation of this model considered in this paper, we assume that a bias toward an extreme opinion is introduced whenever two individuals interact and form a common decision. As a simple proxy for hierarchical social structures, we introduce a two-step decision making process in which in the second step groups of like-minded individuals are replaced by representatives once they have reached local consensus, and the representatives in turn form a collective decision in a downstream process. We find that the introduction of such a hierarchical decision making structure can improve consensus formation, in the sense that the eventual collective opinion is closer to the true average of individual opinions than without it. In particular, we numerically study how the size of groups of like-minded individuals being represented by delegate individuals affects the impact of the bias on the final population-wide consensus. These results are of interest for the design of organizational policies and the optimization of hierarchical structures in the context of group decision making.

A Qualitative Approach to Understand Consumer Groups and Decision-Making Process in Online Group Buying

2019 ◽  
Vol 16 (2) ◽  
pp. 24-46
Author(s):  
Lin Xiao ◽  
Chuanmin Mi
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Process Model ◽  
Qualitative Approach ◽  
Decision Making Process ◽  
Segmentation Method ◽  
Hierarchical Decision Making ◽  
Group Buying ◽  
Hierarchical Decision ◽  
Online Group

This exploratory study used a qualitative approach to segment consumers in an online group buying context based on benefits pursued. 58 participants who have online group buying experience were interviewed. A cluster analysis was conducted on the interview data. The authors found three sub-groups of consumers: economic shoppers, balanced shoppers, and destination shoppers. A hierarchical decision-making process model was developed for different sub-groups of consumers. The results showed that these three sub-groups of consumers are different in terms of their decision-making process. This study overcomes the shortcomings of traditional segmentation studies by proposing a new segmentation method.

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