A new method has been developed to improve the way conflicting evidence is combined in scientific applications. By introducing a new weighting factor based on dissimilarity and information volume of evidence, the method addresses the issue of counter-intuitive outcomes. This new approach was tested using numerical examples and applied to real-life river water quality monitoring, successfully identifying major land use activities contributing to pollution.