Evaluation of Excavator Technologies: Application of Data Fusion Based Multimoora Methods

Abstract

Excavators are quite expensive vehicles. Therefore, there may be huge losses for decision makers if a wrong decision is made during the purchasing process. A good evaluation of excavator alternatives both reduces costs and increases the benefits the excavator for the purchaser. The aim of this study is to prioritise excavator technologies to help decision makers during the purchasing process and to apply three different “data fusion methods” instead of the “theory of dominance” of the original MULTI MOORA method. The MULTI MOORA method is composed of three methods, namely: the ratio analysis as a part of MOORA, Reference Point Theory (the reference point approach as a part of MOORA) and the Full Multiplicative Form. It is used to prioritise excavator technologies in this study. The MULTI - MOORA method combines three results obtained from these three methods using the theory of dominance. Dominance directed graph, Rank position method and Borda count method as data fusion methods are also used to combine these three results instead of the “theory of dominance”. The results from this study show that there is no difference between the data fusion methods and the MULTI MOORA method can be applied to technology evaluation of the excavator alternatives successfully.

Model for residential house element and material selection by neutrosophic MULTIMOORA method

“…We have implemented MULTIMOORA method, which originally was proposed for the project management problems (Brauers and Zavadskas, 2010). Although the initial formulation of this approach was dedicated to the crisp type of the information, the new extensions of MULTIMOORA method were rapidly developed the actual engineering problems: the application of the data fusion methods instead of the dominance theory are considered in Altuntas et al (2015), the solution of the material selection problem in biomedical applications is performed in Hafezalkotob (2015, 2017), failure mode and effects analysis is presented in Liu et al, (2014). Recently, a lot of the research is devoted to the consideration of the uncertainty or ''fuzziness'' of the initial information.…”

Corporate sustainability performance measurement based on a new multicriteria sorting method

“…Among them, project management (Brauers & Zavadskas, 2010), material selection in construction industry (Brauers & Zavadskas, 2012), financial performance evaluation of banks (Brauers, Ginevičius, & Podviezko, 2014), selection of private learning centers (Ozcelik, Aydoğan, & Gencer, 2014), and excavator selection (Altuntas, Dereli, & Yilmaz, 2015) can be given as examples. Among them, project management (Brauers & Zavadskas, 2010), material selection in construction industry (Brauers & Zavadskas, 2012), financial performance evaluation of banks (Brauers, Ginevičius, & Podviezko, 2014), selection of private learning centers (Ozcelik, Aydoğan, & Gencer, 2014), and excavator selection (Altuntas, Dereli, & Yilmaz, 2015) can be given as examples.…”

“…So far, MULTIMOORA has been applied to many real-life problems. Among them, project management (Brauers & Zavadskas, 2010), material selection in construction industry (Brauers & Zavadskas, 2012), financial performance evaluation of banks (Brauers, Ginevičius, & Podviezko, 2014), selection of private learning centers (Ozcelik, Aydoğan, & Gencer, 2014), and excavator selection (Altuntas, Dereli, & Yilmaz, 2015) can be given as examples.…”

A MAGDM Method Based on Possibility Distribution Hesitant Fuzzy Linguistic Term Set and Its Application

“…To date, the theoretical research on this methodology mainly focuses on the ranking aggregation approach, the method of determining attribute weight, and combination with other methods, respectively. In detail, there are four kinds of ranking aggregation approach: (1) dominance-based method, including Dominance Theory [18,29] and Dominance-Directed Graph [30], (2) programming method, like Nonlinear Optimization Model [31], (3) MADM method, including Technique of Precise Order Preference [32] and ORESTE [21], (4) aggregation operators, such as Borda Rule [30] and Rank Position Method [30]. Secondly, the weighting approaches for the attribute are divided into many kinds, such as CRITIC [33], SWARA [34], DEMATEL [29], Entropy [35], Maximizing Deviation Method [36], BWM [37], AHP [38], Statistical Variance [33], Choquet Integral [39], TOPSIS-Inspired Method [40], etc.…”

“…However, the ranking position method [30] only focuses on the position factor, but it ignores the subordinate utilities and the relative importance of the subordinate order, which do not reflect the real performance of the alternative in the subordinate ranking. In other words, this method only involves the ranking matrix, but not both the ranking matrix and the utility value matrix.…”