“…It has now been applied for solving MCDM problems for increasing ranking accuracy and it has the capability to reach the highest accuracy of estimation. Till date, WASPAS method has limited successful applications in location selection (Hashemkhani Zolfani et al, 2013), civil engineering domain (Dėjus & Antuchevičienė, 2013;Staniūnas et al, 2013;Šiožinyte & Antuchevičiene, 2013), port site selection (Bagočius et al, 2013) and manufacturing decision-making (Chakraborty & Zavadskas, 2014).…”
Section: Weighted Aggregated Sum Product Assessment Methodsmentioning
In this paper, the ranking performance of six most popular and easily comprehensive multicriteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment (WASPAS) method, multi-objective optimization on the basis of ratio analysis and reference point approach (MOORA) method, and multiplicative form of MOORA method (MULTIMOORA) is investigated using two real time industrial robot selection problems. Both single dimensional and high dimensional weight sensitivity analyses are performed to study the effects of weight variations of the most important as well as the most critical criterion on the ranking stability of all the six considered MCDM methods. The identified local weight stability interval indicates the range of weights within which the rank of the best alternative remains unaltered, whereas, the global weight stability interval determines the range of weights within which the overall rank order of all the alternatives remains unaffected. It is observed that for both the problems, multiplicative form of MOORA is the most robust method being least affected by the changing weights of the most important and the most critical criteria.
“…It has now been applied for solving MCDM problems for increasing ranking accuracy and it has the capability to reach the highest accuracy of estimation. Till date, WASPAS method has limited successful applications in location selection (Hashemkhani Zolfani et al, 2013), civil engineering domain (Dėjus & Antuchevičienė, 2013;Staniūnas et al, 2013;Šiožinyte & Antuchevičiene, 2013), port site selection (Bagočius et al, 2013) and manufacturing decision-making (Chakraborty & Zavadskas, 2014).…”
Section: Weighted Aggregated Sum Product Assessment Methodsmentioning
In this paper, the ranking performance of six most popular and easily comprehensive multicriteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment (WASPAS) method, multi-objective optimization on the basis of ratio analysis and reference point approach (MOORA) method, and multiplicative form of MOORA method (MULTIMOORA) is investigated using two real time industrial robot selection problems. Both single dimensional and high dimensional weight sensitivity analyses are performed to study the effects of weight variations of the most important as well as the most critical criterion on the ranking stability of all the six considered MCDM methods. The identified local weight stability interval indicates the range of weights within which the rank of the best alternative remains unaltered, whereas, the global weight stability interval determines the range of weights within which the overall rank order of all the alternatives remains unaffected. It is observed that for both the problems, multiplicative form of MOORA is the most robust method being least affected by the changing weights of the most important and the most critical criteria.
“…They combined Weighted Product Model and Weighted Sum Model to create WASPAS and proved that the robustness and accuracy of this model is considerable in comparison with WPM and WSM. Even though WASPAS introduced in 2012, due to its robustness it has been applied in some studies, Staniunas et al [74] utilized it for ecological-economical assessing of multi-dwelling houses, Bagočius et al [75] applied WASPAS for prioritizing a deep-water port, Vafaeipour et al [76] prioritized the placement of solar power plants in Iran. Zavadkas et al [77] developed the WASPAS method and created a new method called WASPAS-IVF and applied for prioritization of derelict buildings' redevelopment.…”
In the current century, energy is become as one of the most critical issues in human's life. Due to global warming, air pollution and the other problems caused by fossil fuels, one of the appropriate sources which is renewable and is invested is wind energy. Iran has a good potential to use wind energy based on its geographical features. Therefore, to have the best productivity to employ wind energy, location of farm winds in a suitable site is a delicate issue. This research applies a hybrid MCDM method for prioritizing potential cities in Iran to install wind farms. In this regard, Step-wise Weight Assessment Ratio Analysis (SWARA) is employed to rank criteria and Weighted Aggregates Sum Product Assessment (WASPAS) is utilized to evaluate alternatives. In this study 68 cities are detected as high potential places for this aim. Eventually, the most appropriate city is identified as the best place to install wind farms. The results of this research draw a OPEN ACCESS 2 conclusion for decision making and planning of energy management in top level of managing requirements of countries in all aspects.
“…This method works on a stepwise ranking and evaluation procedure of the alternatives in terms of their significance and utility degree. Crisp or modified method for uncertain environment has been successfully applied in for maintenance strategy or performance evaluation, for selection of effective decisions in construction or management ( [25]; [26]; [27]; [28]; [29]; [30]; [31]; [32]). …”
In today's world economy, firms focused on the maximization of shareholder value need to ensure that all activities yield positive net present values. Value based financial performance measures have been developed in an attempt to guide management actions towards achieving this objective. In this study, a hybrid approach is proposed for value based financial performance evaluation of automotive parts manufacturer companies of Tehran stock exchange (TSE). For this purpose, in this study based on eight value based measures an integrated fuzzy multi criteria decision making approach is presented for value based financial performance evaluation of companies. In current approach Fuzzy Analytic Hierarchy Process (FAHP) is applied to determine the weights of the criteria. Then the companies are ranked by Fuzzy Complex Proportional Assessment (Fuzzy COPRAS), simultaneously. The results represented the importance of each value based measures in financial evaluation of fourteen Iranian companies and ranking companies by applying the proposed approach.
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