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Conference Object Petri Net Modeling and Simulation of Walking Behaviour for Design of a Bioinspired Robot Dog(SciTePress, 2016) Erden,Z.; Araz,M.Research in behavior-based design faces many challenges regarding the AIDS in conceptual design of biorobots, representation of a biological system,s behavior in a well formed modeling tool and therefore providing systematic transformation of this behavior into robot design. This paper reports a research that focuses on the development of a Petri Net model to represent a biological system,s behavior. The model is based on real time data collected from an experiment in which a dog is walking on a treadmill with a speed of 1km/h. The model has the ability of simulating the real time rhythm of dog's walking behavior utilizing colors and numbers as well as the step-by-step simulation. The aim is to observe the behavior of a walking dog in time domain as an early stage of conceptual design of a bioinspired robot dog. Main challenge is to develop a methodology to guide designer towards more creative designs based on bioinspired design ideas. The presented work is an early attempt to initiate a systematic approach towards the stated goal. © Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.Conference Object Partner Selection in Formation of Virtual Enterprises Using Fuzzy Logic(SciTePress, 2015) Nikghadam,S.; Sadigh,B.L.; Ozbayoglu,A.M.; Unver,H.O.; Kilic,S.E.Virtual Enterprise (VE) is a temporary cooperation among independent enterprises to build up a dynamic collaboration framework for manufacturing. One of the most important steps to construct a successful VE is to select the most qualified partners to take role in the project. This paper is a survey of ranking the volunteer companies with respect to four evaluation criteria, proposed unit price, delivery time, quality and enterprises' past performance. Fuzzy logic method is proposed to deal with these four conflicting criteria, considered as input variables of the model. As each criterion is different in nature with the other criterion, various membership functions are used to fuzzify the input values. The next step is to construct the logical fuzzy rules combining the inputs to conclude the output. Mamdani's approach is adopted to evaluate the output in this Fuzzy Inference System. The result of the model is the partnership chance of each partner to participate in VE. A partner with highest partnership chance will be the winner of the negotiation. Implementation of this model to the illustrative example of a partner selection problem in virtual enterprise and comparing it with fuzzy-TOPSIS approach verifies the feasibility of the proposed approach and the computational results are satisfactory. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserve.
