Influence of Terrain on Modern Tactical Combat: Trust-based Recommender System

Defence Science Journal

Devinder Saini¹  Gaurav Prasad¹  Ambrish Awasthi¹  Sumit Agarwal²  A.K. Sinha¹  Punam Bedi² 

[1] Defence Terrain Research Laboratory, Delhi;University of Delhi, Delhi

关键词: Recommender systems;    trust;    clustering;    intuitionistic fuzzy set;    agent;    tactical combat;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: Defence Scientific Information & Documentation Centre

【 摘 要 】

In Army Services, there are a number of valuable decisions that have to be taken for mission accomplishment. These decisions are very important and the choice of a weapon may be able to alter the outcome of a battle decisively. Among several such decisions one is to decide which weapons to deploy/assign over a given terrain. Recommender systems are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services. This paper proposes the design of recommender system that automates the process of finding the appropriate type of weapon(s) that can be deployed over a terrain having certain characteristics. The user agent seeks recommendations, which are in the form of intuitionistic fuzzy set (IFS), from trustworthy peers and produces aggregated order of recommendations taking degree of trust on recommenders into consideration. Trust on recommender is also updated based on importance of recommendation given to the user. A prototype of the trust-based recommender system for modern tactical combat system has been designed and developed through which the user can get the recommendation to use a specific kind of weapon or a set of weapons that would be best-suited in a given type of terrain. Defence Science Journal, 2010, 60(4), pp.405-411 , DOI:http://dx.doi.org/10.14429/dsj.60.498

【 授权许可】

Unknown