Browsing by Author "Turskis, Zenonas"
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- ItemA Framework for Valuation and Prioritization of Patents Using a Combined MADM Approach. Case Study: Nanotechnology(Technická Univerzita v Liberci, ) Heidary Dahooie, Jalil; Mohammadi, Navid; Mohammadi, Mehdi; Shahmohammadi, Parisa; Turskis, Zenonas; Šaparauskas, Jonas; Ekonomická fakultaPatent valuation and prioritization is one of the main activities for the management of intellectual property assets in an organization. So far, numerous attempts have been made to determine the value of patents, some of which have not been efficient due to ignoring some effective dimensions or considering the same importance for all aspects. To overcome this challenge, this research aims to provide a framework for valuing and prioritizing patents using a combination of MADM methods. For this purpose, first, the indicators for patent valuation and prioritization were taken from the literature and aggregated and finalized based on opinions of experts of technology management as well as nanotechnology in the form of a Delphi method. Second, the indicators were weighted, and their importance specified based on expert opinions using the questionnaire tool and stepwise weight assessment ratio analysis (SWARA) method. Third, the additive ratio assessment (ARAS) method was used to value and prioritize the patents. For this reason, 12 nanotechnology patents, registered in 2016 at the Iranian Administration of Registration of Documents, were valued and ultimately prioritized. The results from the criteria weights indicate that commercial and market potential and the economic value should be selected as the most critical dimensions. Also, among the indicators, the project investment cost, the costs of production and commercialization and the economic relevance, were selected as the most critical indicators. Among the 12 patents examined, "Gelatin-Chitosan/Carbon Nanotube Composite Scaffolds for Bone Tissue Engineering Applications" was identified as the most valuable patent.
- ItemMulti-criteria group decision-making using an extended edas method with interval type-2 fuzzy sets(Technical university of Liberec, Czech Republic, 2017-03-15) Ghorabaee, Mehdi Keshavarz; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Ekonomická fakultaMulti-criteria decision-making (MCDM) methods are very useful in the real-world decision-making problems. We are usually confronted with the decision-making process in an uncertain environment, and the fuzzy set theory is an efficient tool to handle this uncertainty. Interval type-2 fuzzy sets are one of the extensions of the fuzzy sets which are very flexible to model an uncertain environment. This study is related to MCDM problems within the context of interval type-2 fuzzy sets (IT2FSs). The evaluation based on distance from average solution (EDAS) method is a new and efficient MCDM method, and assessment of alternatives in this method is based on the distance of them from average solution with respect to all criteria. In the EDAS method, each alternative has positive and negative distances which are used to determine the appraisal score of it. In this research, we present an extended EDAS method, which is named EDAS-IT2FSs, for dealing with multi-criteria group decision-making problems with interval type-2 fuzzy sets. Basic concepts of interval type-2 fuzzy sets and the arithmetic operations of trapezoidal IT2FSs are used to develop the extended EDAS method. A numerical example of multi-criteria subcontractor evaluation problem is used to illustrate the process of using the extended EDAS method. The example involves eight subcontractors that need to be evaluated with respect to seven criteria. A comparison and a sensitivity analysis based on different sets of criteria weights are also performed to show the validity of the proposed method. The results of these analyses show the efficiency and stability of the extended EDAS method.
- ItemSequence determining of construction of the offshore wind farm construction applying permutation method(Technická Univerzita v Liberci, ) Bagočius, Vygantas; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Ekonomická fakultaRanking of work or feasible investments is one of high-importance keys for successful economic development. The share of renewable energy sources in the Lithuanian primary energy supply is on the lowest among EU. Only bio fuel, hydro and wind power can be considered as potential renewable energy sources in Lithuania at present time. Wind energy generation mature technology and comparatively low cost make it promising as an important primary energy source in the nearest future. The aim of this paper is to determine the sequence for the wind turbine construction in the waters of Lithuania. The key criteria set for was determined for the problem solution: area of the territory, water depth, distance to shore, average wind velocity, max power on the area, amount of energy per year, investments and CO2. AHP method is used to estimate criteria weights. The problem was solved applying multi-attribute permutation method. This method allows dealing with qualitative and quantitative as well as with linguistic (verbal) data.