Fast BF-ICrA Method for the Evaluation of MO-ACO Algorithm for WSN Layout

Jean Dezert,Stefka Fidanova,Albena Tchamova

2020 15th Conference on Computer Science and Information Systems (FedCSIS)（2020）

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摘要

In this paper, we present a fast Belief Function based Inter-Criteria Analysis (BF-ICrA) method based on the canonical decomposition of basic belief assignments defined on a dichotomous frame of discernment. This new method is then applied for evaluating the Multiple-Objective Ant Colony Optimization (MO-ACO) algorithm for Wireless Sensor Networks (WSN) deployment.

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关键词

Inter-Criteria Analysis,belief functions,information fusion,canonical decomposition,PCR5 rule

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