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Aggregation Operators on Triangular Intuitionistic Fuzzy Numbers and its Application to Multi-Criteria Decision Making Problems

-109. [14]Jianqiang W., Zhong Z. Aggregation operators on intuitionistic trapezoidal fuzzy number and its application to multi-criteria decision making problems. Systems Engineering and Electronics, Journal of, 20, 2009, 321-6. [15]K. A., G. G. Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31, 1989, 343-9. [16]Li D.-F. A note on “using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly”. Microelectronics Reliability, 48, 2008, 1741. [17]Li D.-F. A ratio ranking method of

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Risk of Emergency Situations of Underground Objects in the Perspective of Multi-Criteria Decision Making

Abstract

The diaphragm wall and the open caisson represent two main competitive technologies used in the construction of underground objects. In modern times, diaphragm walls are primarily applied for large-size objects, with open caissons being preferred in the case of small-sized ones. Currently, objects of this type are designed mainly for sewage treatment plants and detention reservoirs. Their construction involves highly labour-intensive processes. During the execution of works unforeseen negative effects are observed to occur. During the underground objects construction the most common phenomena are: deviations from the vertical (tilt), sagging, sinking below the designed level, cracking, scratches or leakage through the wall. The purpose of the paper is to classify undesired risk factors emerging in the process of underground objects construction and selection of the optimal technological and material solution for municipal facilities. The implementation of this task involved the selection of Multi-Criteria Decision Making methods, taking into account the cause-effect rating, as the mathematical apparatus. The Ratio Estimation in Magnitudes or deciBells to Rate Alternatives which are Non-DominaTed (REMBRANDT) method was applied. The research proved that it is possible to analytically assess unforeseen risk factors conducive to emergency situations during the implementation of underground objects, using the REMBRANDT method.

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Risk-Based Decision Support Model for Offshore Installations

Journal of Services Sciences, Vol. 1, No. 1, pp. 83-98. 16. Velasquez, M., Hester, P. T. (2013), "An analysis of multi-criteria decision making methods", International Journal of Operations Research, Vol. 10, No. 2, pp. 56-66. 17. WISER (2017), "Wide-Impact cyber SEcurity Risk framework", available at: https://www.cyberwiser.eu/ (14 November 2017).

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Modeling systems thinking in action among higher education leaders with fuzzy multi-criteria decision making

. Chen, S.H., Hsieh, C.H., (1998), “Graded mean integration representation of generalized fuzzy number. In: Proceedings of 1998 Sixth Conference on Fuzzy Theory and its Application.”, Chinese Fuzzy System Association, Taiwan, pp. 1e6. Chien-Chang, C., (2012), “Evaluating the quality of airport service using the fuzzy multi-criteria decision-making method: a case study of Taiwanese airports.”, Expert Syst. Vol. 29, No. 3, pp. 246e260. Chiadamrong, N. (1999), “An integrated fuzzy multiple criteria decision making method for manufacturing strategies selection

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A Generalized Multi Criteria Decision Making Method Based on Extension of ANP by Enhancing PAIR WISE Comparison Techniques

Conference on Management Science & Engineering, 20-22 September 2012, IEEE, Dallas, USA, 978-1-4673-3014, pp. 5-12. 9. Dey, B., J. Mehedi, R. Dey. Assessment of Ph.D (Technology) Quality in Indian Universities: AHP Based Decision Model. - In: IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 2013, Bali Dynasty Resort, Kuta, Indonesia, 978-1-4673-6355, pp. 6-13. 10. Habiba, Umm-e., S. Asghar. A Survey on Multi-Criteria Decision Making Approaches. - In: International Conference on Emerging Technologies

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A Data Pre-Processing Model for the Topsis Method

References Afshar, A., Marino, M.A., Saadatpour, M., Afshar, A. (2011). Fuzzy TOPSIS multicriteria decision analysis applied to Karun reservoirs system. Water Resource Management , 25 , 545–563. Amiri, M.P. (2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications , 37 , 6218–6224. Amiri, M., Zandieh, M., Soltani, R., Vahdani, B. (2009). A hybrid multi-criteria decision-making model for firms competence evaluation. Expert Systems with Applications , 36 , 12314

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Selection Of Cutting Inserts For Aluminum Alloys Machining By Using MCDM Method

Abstract

Machining of aluminum and its alloys requires the use of cutting tools with special geometry and material. Since there exists a number of cutting tools for aluminum machining, each with unique characteristics, selection of the most appropriate cutting tool for a given application is very complex task which can be viewed as a multi-criteria decision making (MCDM) problem. This paper is focused on multi-criteria analysis of VCGT cutting inserts for aluminum alloys turning by applying recently developed MCDM method, i.e. weighted aggregated sum product assessment (WASPAS) method. The MCDM model was defined using the available catalogue data from cutting tool manufacturers.

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Creation of Optimal Performance of the Investment Project

Abstract

The selection of an investment project is seen as a problem of multi-criteria decision-making. In this paper, a decision-maker uses six attributes i.e. criteria most used by the international companies in practice (net present value, internal rate of return, payback period, accounting rate of return, operating profit margin and return on equity).

Individual utility functions are made for each attribute separately and the global utility function as a weighted sum of individual utility functions. For each criterion a final set of arranged pairs i.e. points of utility is determined based on the decision-maker’s assessments. Then, the points obtained are approximated by the utility function.

Finally, the optimization issue solved in order to obtain the optimal performance of the selected project according to decision-maker’s opinion. The negotiation procedure enables the offered performances to approach optimal performance of the selected project aimed at decision-maker and investor reaching an agreement.

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Evaluation of Polymer Matrix Composite Waste Recycling Methods

. Environmental and Climate Technologies 2015:15(1):5–21. doi:10.1515/rtuect-2015-0002 [33] Aung T. S., Luan S., Xu Q. Application of multi-criteria-decision approach for the analysis of medical waste management systems in Myanmar. Journal of Cleaner Production 2019:222:733–745. doi:10.1016/j.jclepro.2019.03.049 [34] Ighravwe D. E., Oke S. A. A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering 2019:24:100753. doi:10.1016/j.jobe.2019

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The Impact Assessment of Water Resource Management on Farms in the Ping Watershed, Northern Thailand

Abstract

The irrational use of water in agriculture is often responsible for several problems concerning the depletion of water resources. Water resources sustainability has crucial for the existence of farming system which is dependent on the cropping pattern practices. This paper concerns the studies of existing water resource management and determines factors affecting decision making about water use and management within different farming systems. In these cases, a multi-criteria decision making model (MCDM) has been determined that aims at allocating efficient water and land resources to farms in the Ping watershed area in northern Thailand by optimizing a set of important socio-economic objectives which depend on sustainable agricultural (rural) development. The solution was found by using two analytical steps as follows: single objective optimization and compromise programming.

These resources include: land, labour, capital, fertilizer, pesticides and irrigation water. Existing cropping pattern included the inseason rice, off season-rice, vegetables (chili, pak choi, cauliflower, long bean, cabbage), soybean and sweet corn. Under the model cropping pattern conditions the in-season rice was produced for the household consumption and specially found in irrigated areas with storage dam. The model recommended that the suitable cropping pattern of the in-season rice followed by chili and long bean increased the gross margin two times. The amount of water used for the irrigation decreased by 6.84 percent from original 1,198,904 m3 at the existing cropping pattern to 1,116,902 m3 at the model cropping pattern.

However, in the case of the irrigated areas with water gates the model showed that the suitable cropping pattern was not different from the existing ones. However, the recommended model cropping pattern as the suitable cropping pattern consisting of the inseason rice followed by vegetables, sugar cane and perennial crops such as longan increased the gross margin three times while the water use increased only by 2.25 percent from the existing cropping pattern (from 1,374,655 m3 to 1,405,582 m3 at the model cropping pattern).

In the case of the rainfed areas the model cropping pattern recommended to grow the in-season rice, tobacco and longan on farm which increased the gross margin six times. However, the water using increased slightly from the existing on-farm water consumption (101,601.2 m3) up to 680,869 m3 as linked to the model cropping pattern.

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