W opracowaniu podjęto po raz kolejny zagadnienie wyboru metody porządkowania liniowego jako odpowiedź na propozycję procedury przedstawionej w pracy Kisielińskiej (2016). Pokazano na dwóch przykładach, że ranking zależy od zastosowanej metody, a różnice są istotne. Podkreślono tym samym konieczność zastosowania kilku metod przed budową ostatecznego rankingu oraz wyeliminowaniu rankingów „odstających”. W artykule zaproponowano procedurę ich eliminacji. Oparto ją na średniej arytmetycznej i odchyleniu przeciętnym miar podobieństwa rankingów uzyskanych z wykorzystaniem kilku metod porządkowania liniowego. Z przedstawionych badań wynika, że dokonując wyboru metody porządkowania liniowego należy przeprowadzić obliczenia z zastosowaniem kilku procedur i dokonać wyboru wykorzystując już istniejące rozwiązania w literaturze lub zweryfikować z ekspertami badanej tematyki.
The paper presents the method of assessment of learning outcomes acquirement by students. The analysis is based on the results of the final matriculation exam in mathematics. For crisp and both types of fuzzy relations, cut scores (passing scores) can be defined along with the method of preparing rankings of students. The advantage of applying type 2 fuzzy relations is the lack of the necessity for experts to agree to one level (one number) of verification of learning outcomes by items created for the examination. Based on the results of the exam and experts’ knowledge, the decision support system for calculating the levels of learning outcomes acquirement, making decisions about passing the examination and preparing rankings of students, can be developed. Additionally, the rank reversal phenomenon does not burden the proposed method.
Faithfull detection of non-utilized spectrum hole in available channel is a crucial issue for cognitive radio network. Choosing the best available channel for a secondary user transmission includes settling on decision of accessible choices of free frequency spectrum based on multiple objectives. Thus channel judgment can be demonstrated as several objective decision making (MODM) problem. An ultimate goal of this exploration is to define and execute a technique for multiple objective optimizations of multiple alternative of channel decision in Adhoc cognitive radio network. After a coarse review of an articles related to the multiple objective decision making within a process of channel selection, Multiple Objective Optimization on the basis of the Ratio Analysis (MOORA) technique is taken into consideration. Some important objectives values of non-utilized spectrum collected by a fusion center are proposed as objectives for consideration in the decision of alternatives. MOORA method are applied to a matrix of replies of each channel alternatives to channel objectives which results in set ratios. Among the set of obtained dimensionless ratios, all the channel alternatives are ranked in descending order. In MOORA, channel choices with moderate objectives can top in ranking order, which is hardly conceivable with linearly weighted objectives of the different channel by using different decision making technique.
One of the strategic decisions of any organization is decision making about manufacturing strategy. Manufacturing strategy is a perspective distinguishing a company from other present companies in that industry and creates a kind of stability in decisions and gives a special direction to organizational activities. SIR (SUPERIORITY& INFERIORITY Ranking) method and their applications have attracted much attention from academics and practitioners. FSIR proves to be a very useful method for multiple criteria decision making in fuzzy environments, which has found substantial applications in recent years. This paper proposes a FSIR approach based methodology for TOPSIS, which using MILTENBURG Strategy Worksheet in order to analyzing of the status of strategy of the Gas Company. Then formulates the priorities of a fuzzy pair-wise comparison matrix as a linear programming and derives crisp priorities from fuzzy pair-wise comparison matrices Manufacturing levers (Alternatives) are examined and analyzed as the main elements of manufacturing strategy. Also, manufacturing outputs (Criteria are identified that are competitive priorities of production of any organization. Next, using a hybrid approach of FSIR and TOPSIS, alternatives (manufacturing levers) are ranked. So dealing with the selected manufacturing levers and promoting them, an organization makes customers satisfied with the least cost and time.
Finding the most critical contingencies in a power system is a difficult task as multiple evaluations of load and generation scenarios are needed. This paper presents a mathematical formulation for selecting, ranking, and grouping the most critical N-1 network contingencies, based on the calculation of a Power Constraint Index (PCI) obtained from the Outage Transfer Distribution Factors (OTDF). The results show that the PCI is only affected by the impedance parameter of the transmission network, the topology, and the location of all generators. Other methods, such as the Performance Index (PI) and the Overload Index (OL) are affected by the power generation and demand variations. The proposed mathematical formulation can be useful to accelerate the calculation of other methods that evaluate contingencies in power system planning and operation. Furthermore, the fast calculation of indices makes it suitable for online evaluation and classification of multiple events considering the current topology. The results showed that the proposed al- gorithm easily selected and ranked the expected contingencies, with the highest values of the index corresponding to the most critical events. In the filtering process, the computa- tional calculation time improved without losing the robustness of the results.
Priority wise channelization of resources is the key to successful environmental management, especially when funds are limited. The study in hand has successfully developed an algorithmic criterion to compare hazardous effects of Municipal Solid Waste (MSW) dumping sites quantitatively. It is a Multi Criteria Analysis (MCA) that has made use of the scaling function to normalize the data values, Analytical Hierarchy Process (AHP) for assigning weights to input parameters showing their relevant importance, and Weighted Linear Combination (WLC) for aggregating the normalized scores. Input parameters have been divided into three classes namely Resident’s Concerns, Groundwater Vulnerability and Surface Facilities. Remote Sensing data and GIS analysis were used to prepare most of the input data. To elaborate the idea, four dumpsites have been chosen as case study, namely Old-FSD, New-FSD, Saggian and Mahmood Booti. The comparison has been made first at class levels and then class scores have been aggregated into environmental normalized index for environmental impact ranking. The hierarchy of goodness found for the selected sites is New-FSD > Old-FSD > Mahmood Booti > Saggian with comparative scores of goodness to environment as 36.67, 28.43, 21.26 and 13.63 respectively. Flexibility of proposed model to adjust any number of classes and parameters in one class will be very helpful for developing world where availability of data is the biggest hurdle in research based environmental sustainability planning. The model can be run even without purchasing satellite data and GIS software, with little inaccuracy, using imagery and measurement tools provided by Google Earth.