scholarly journals An Unsupervised Evidential Conflict Resolution Method for Data Fusion In IoT

2017 ◽  
Author(s):  
Walid Cherifi ◽  
Bolesław Szafrański
Keyword(s):  
Conflict Resolution ◽  
Data Fusion ◽  
Resolution Method ◽  
Evidential Conflict

Velocity obstacle–based conflict resolution and recovery method

2021 ◽  
pp. 1-23
Author(s):  
F. Sun ◽  
Y. Chen ◽  
X. Xu ◽  
Y. Mu ◽  
Z. Wang
Keyword(s):  
Conflict Resolution ◽  
Optimal Solution ◽  
Mitigation Strategy ◽  
Resolution Method ◽  
Recovery Method ◽  
Aircraft Flight ◽  
Resolution Model ◽  
Group Welfare ◽  
Velocity Obstacle ◽  
Conflict Mitigation

ABSTRACT Considering the shortcomings of current methods for real-time resolution of two-aircraft flight conflicts, a geometric optimal conflict resolution and recovery method based on the velocity obstacle method for two aircraft and a cooperative conflict resolution method for multiple aircraft are proposed. The conflict type was determined according to the relative position and velocity of the aircraft, and a corresponding conflict mitigation strategy was selected. A resolution manoeuvre and a recovery manoeuvre were performed. On the basis of a two-aircraft conflict resolution model, a multi-aircraft cooperative conflict resolution game was constructed to identify an optimal solution for maximising group welfare. The solution and recovery method is simple and effective, and no new flight conflicts are introduced during track recovery. For multi-aircraft conflict resolution, an equilibrium point that maximises the welfare function of the group was identified, and thus, an optimal strategy for multi-aircraft conflict resolution was obtained.

Transforming the Narrative of Violence in Kenya to a Narrative of Nonviolence

2017 ◽  
pp. 95-113
Author(s):  
Mukurima Muriuki
Keyword(s):  
Conflict Resolution ◽  
Economic Empowerment ◽  
Resolution Method ◽  
History Of

This chapter examines nonviolence as conflict resolution method in Kenya, and postulates that the advantages presented by nonviolence stand to help society overcome the trappings presented by violence. The author explores the idea of violence as laid out in the narrative and structure of the Kenyan society, the plausible reasons that gives rise to violence as a way of agitation for perceived rights and freedoms, and resolving conflicts.This chapter has focused on the history of Kenya with respect to the aspirations that existed during the time of clamor for independence and how the inability to make those dreams a reality curtailed the dreams, hopes, and aspirations of many who fought for independence and therefore creating a disenfranchised population, and above all, planting seeds of violence. This chapter observes that economic empowerment is a necessary tool to inculcate the theme of nonviolence in society. The author suggests using activities such as soccer and other related sports to create ambassadors and warriors for nonviolence.

Research on the Conflict Resolution Method in Uncertainty Task Allocation

2015 ◽  
Vol 12 (15) ◽  
pp. 5769-5775
Author(s):  
Tong Wang
Keyword(s):  
Conflict Resolution ◽  
Task Allocation ◽  
Resolution Method

A rule conflict resolution method based on Vague set

2013 ◽  
Vol 18 (3) ◽  
pp. 549-555 ◽  
Author(s):  
Qingchuan Zhang ◽  
Guangping Zeng ◽  
Chaoen Xiao ◽  
Yang Yue
Keyword(s):  
Conflict Resolution ◽  
Resolution Method ◽  
Vague Set

scholarly journals Conflict resolution using relation classification: High-level data fusion in data integration

2021 ◽  
pp. 14-14
Author(s):  
Zeinab Nakhaei ◽  
Ali Ahmadi ◽  
Arash Sharifi ◽  
Kambiz Badie
Keyword(s):  
Machine Learning ◽  
Conflict Resolution ◽  
Data Integration ◽  
Data Fusion ◽  
Estimated Parameters ◽  
True Value ◽  
Level Data ◽  
Fusion Methods ◽  
Relation Classification ◽  
High Level

The aim of conflict resolution in data integration systems is to identify the true values from among different and conflicting claims about a single entity provided by different data sources. Most data fusion methods for resolving conflicts between entities are based on two estimated parameters: the truthfulness of data and the trustworthiness of sources. The relations between entities are however an additional source of information that can be used in conflict resolution. In this article, we seek to bridge the gap between two important broad areas, relation estimation and truth discovery, and to demonstrate that there is a natural synergistic relationship between machine learning and data fusion. Specifically, we use relational machine learning methods to estimate the relations between entities, and then use these relations to estimate the true value using some fusion functions. An evaluation of the results shows that our proposed approach outperforms existing conflict resolution techniques, especially where there are few reliable sources.

A Study on Conflict Resolution Method for Continuous Climb and Descent Operation

2016 ◽  
Vol 15 (0) ◽  
pp. 71-78
Author(s):  
Daichi TORATANI ◽  
Seiya UENO ◽  
Takehiro HIGUCHI
Keyword(s):  
Conflict Resolution ◽  
Resolution Method

Aircraft conflict resolution method based on four-dimensional track operation

2021 ◽  
Author(s):  
Wenda Yang ◽  
Minggong Wu ◽  
Xiangxi Wen ◽  
Kexin Bi ◽  
Fugen Lin
Keyword(s):  
Conflict Resolution ◽  
Resolution Method
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