Hanne, Thomas
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Hanne, Thomas
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- PublikationA credit rating model in a fuzzy inference system environment(MDPI, 2019) Yazdi, Amir Karbassi; Hanne, Thomas; Wang, Yong J.; Wee, Hui-Ming [in: Algorithms]One of the most important functions of an export credit agency (ECA) is to act as an intermediary between national governments and exporters. These organizations provide financing to reduce the political and commercial risks in international trade. The agents assess the buyers based on financial and non-financial indicators to determine whether it is advisable to grant them credit. Because many of these indicators are qualitative and inherently linguistically ambiguous, the agents must make decisions in uncertain environments. Therefore, to make the most accurate decision possible, they often utilize fuzzy inference systems. The purpose of this research was to design a credit rating model in an uncertain environment using the fuzzy inference system (FIS). In this research, we used suitable variables of agency ratings from previous studies and then screened them via the Delphi method. Finally, we created a credit rating model using these variables and FIS including related IF-THEN rules which can be applied in a practical setting.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationSketch-based user authentication with a novel string edit distance model(IEEE, 2018) Riesen, Kaspar; Hanne, Thomas; Schmidt, Roman [in: IEEE Transactions on Systems, Man, and Cybernetics: Systems]The vast majority of user authentication in digital applications is based on alphanumeric passwords. Yet, due to severe problems that might arise with this approach, various efforts have been made in the last decade to replace this authentication paradigm. One candidate for the prospective paradigm shift might be found in the field of graphical passwords. The present paper introduces a novel framework for user authentication based on freehand sketches. The basic idea is that during the registration phase a user draws an arbitrary sketch in a specific drawing canvas (rather than typing a password). Registered users can then be authenticated whenever they are able to reproduce their personal sketch with sufficient precision. The major challenge of such a system is twofold. First, it has to provide a certain degree of error-tolerance such that the authentication of genuine users can be smoothly accomplished. Second, the system should detect even subtle forgeries and reject possible intruders.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationComparison of the behavior of swarm robots with their computer simulations applying target-searching algorithms(Engineering and Technology, 2018) Zhong, Jia; Dornberger, Rolf; Hanne, Thomas [in: International Journal of Mechanical Engineering and Robotics Research]This paper investigates the functionality and quality of the implementation of a search and target surrounding swarm robotic algorithm using physical swarm robots named Kilobots. The implementation was developed and tested in the simulator V-REP, then transferred onto the actually running Kilobots: Ten Kilobots were used for the experiment, where one Kilobot acts as the target and nine Kilobots act as the searchers. The algorithm allows the searchers to swarm out to find the target while avoiding collisions with other searchers, to orbit around other searchers, which are closer to the target, and finally to surround the target once it is found. The results of the implementation using the physical Kilobots are compared with the results of two adjusted computer simulations. Differences between the simulations and the real robot implementation are investigated: Discrepancies regarding the locomotion and the communication capabilities are identified and discussed.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationGaussian guided self-adaptive wolf search algorithm(MDPI, 2018) Song, Qun; Fong, Simon; Deb, Suash; Hanne, Thomas [in: Entropy]Nowadays, swarm intelligence algorithms are becoming increasingly popular for solving many optimization problems. The Wolf Search Algorithm (WSA) is a contemporary semi-swarm intelligence algorithm designed to solve complex optimization problems and demonstrated its capability especially for large-scale problems. However, it still inherits a common weakness for other swarm intelligence algorithms: that its performance is heavily dependent on the chosen values of the control parameters. In 2016, we published the Self-Adaptive Wolf Search Algorithm (SAWSA), which offers a simple solution to the adaption problem. As a very simple schema, the original SAWSA adaption is based on random guesses, which is unstable and naive. In this paper, based on the SAWSA, we investigate the WSA search behaviour more deeply. A new parameter-guided updater, the Gaussian-guided parameter control mechanism based on information entropy theory, is proposed as an enhancement of the SAWSA. The heuristic updating function is improved. Simulation experiments for the new method denoted as the Gaussian-Guided Self-Adaptive Wolf Search Algorithm (GSAWSA) validate the increased performance of the improved version of WSA in comparison to its standard version and other prevalent swarm algorithms.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationFinding the best third-party logistics in the automobile industry(Hindawi, 2018) Yazdi, Amir Karbassi; Hanne, Thomas; Osorio Gómez, Juan Carlos; García Alcaraz, Jorge Luis [in: Mathematical Problems in Engineering]Given the current economic climate, many companies are considering outsourcing some activities to reduce costs and to focus on their core competency; thus, by adopting a competency-focused approach they enhance their chances to survive in a growing and competitive market. Third-Party Logistics (3PL) is a system that facilitates logistic activities. First, however, the organizations need to assess which companies are suitable for outsourcing. The aim of this paper is to depict a structural system for 3PL selection and validate it in real-world automobile companies. We use the Delphi method to determine criteria for 3PL selection and apply Evaluation by an Area-based Method for Ranking (EAMR) to prioritize the candidate alternatives. This method is used in combination with a Shannon Entropy based approach for determining the required weights. Computational analysis shows which criteria and companies have high priority, and based on that candidate alternatives for outsourcing are evaluated. The results suggest how automobile companies select 3PL companies and allocate their work to them.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationSpecial issue on Recent Advances in Machine Intelligence(Elsevier, 2016) Hanne, Thomas; Deb, Suash; Fong, Simon [in: Soft Computing]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationRecent advances in machine intelligence(Elsevier, 2016) Hanne, Thomas; Deb, Suash; Fong, Simon [in: Soft Computing]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationEidetic Wolf Search Algorithm with a Global Memory Structure(Elsevier, 2016) Hanne, Thomas; Fong, Simon; Deb, Suash [in: European Journal of Operational Research]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationAttraction and diffusion in nature-inspired optimization algorithms(Springer, 15.05.2015) Yang, Xin-She; Deb, Suash; Hanne, Thomas; He, Xingshi [in: Neural Computing and Applications]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationSoftware Life Cycle Management Focusing on Validation in Software Applications(Inderscience, 2015) Dornberger, Rolf; Hanne, Thomas; Gupta, Varun; Gupta, Chetna; Srivastav, Maneesha [in: International Journal of Computer Aided Engineering and Technology]01A - Beitrag in wissenschaftlicher Zeitschrift