The objective of this study is to present two multitarget tracking applications based on Dezert-Smarandache Theory (DSmT) for plausible and paradoxical reasoning: (1) Target Tracking in Cluttered Environment with Generalized Data Association incorporating the advanced concept of generalized data (kinematics and attribute) association to improve track maintenance performance in complicated situations (closely spaced and/or crossing targets), when kinematics data are insufficient for correct decision making.; (2) Estimation of Target Behavior Tendencies - it is developed on the principles of DSmT applied to conventional passive radar amplitude measurements, which serve as an evidence for corresponding decision-making procedures. The aim is to present and to demonstrate the ability of DSmT to improve the decision-making process and to assure awareness about the tendencies of target behavior in case of discrepancies in measurements interpretation.