Application of Simple Average Weighting Optimization Method in the Selection of Best Desktop Computer Model

Abstract

Multi-Criteria Decision Making (MCDM) is one of the most emerging concepts in today’s world which enables a decision maker to select the best strategies among different available alternatives. MCDM technique helps to remove the biasness and confusion while selecting a product or process. In recent few years different MCDM methodologies finds wide area of applications in industries as well as in our daily life. In this paper, such one type of application is broadly described. One example is taken from our daily life, which is generally faced by most of the students while purchasing a desktop computer. The main objective of this paper is to select the best desktop computer models among five different models actual available in the market having different configurations. For this analysis, 100 computer users have been surveyed to know their relative preferences and choices, which of the computer specifications is most important to them. For this present analysis few numbers of criteria have been considered and also there are number of sub-criteria within each criterion (for example, the processor may be different for different models like I3, I5, I7 etc.). The MCDM methodology which is adopted for this selection process is known as Simple Average Weighting (SAW) method.

A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions

“…Multi-objective MCDM methods have gained prominence, allowing decision-makers to consider conflicting objectives simultaneously. These methods, such as the Weighted Sum Model (WSM) [18], the Weighted Product Model (WPM) [19], and the TOPSIS, enable the identification of Pareto-optimal solutions that represent trade-offs between objectives. Additionally, fuzzy-based MCDM approaches have been introduced to handle uncertainty and imprecision in decision-making processes.…”

Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology

“…Mitra and Kundu (2017) applied AHP method for the domestic refrigerator selection process and later, Mitra and Kundu (2018) analyzed the same problem by applying TOPSIS methodology. Mitra and Goswami (2019a) adopted a hybrid AHP-TOPSIS methodology for the selection of best desktop computer model and the same problem is validated by Mitra and Goswami (2019c) by implementing simple average weighting method (SAW). Also, Mitra and Goswami (2019b) select the best laptop model and gave a preference ranking order of six available laptop models in their paper by analyzing through AHP-SAW hybrid MCDM process.…”

Multi-Criteria Decision-Making for Electric Bicycle Selection

“…SAW is known as the oldest method (1964), it is considered the foundation for Sientists to propose other methods [1]. It is also considered a widely used method because of its simplicity [2][3][4][5][6]. For the reason, the method may be oldest, but it is still used in the recent researches, such as: evaluating flood control projects [7], air-conditioner selection [8], school selection [9,10], evaluating national football teams participating in the 2018 World Cup [11], selecting students to receive grants [12], recruiting University teachers [13], ranking teachers of a secondary school [14], ranking singers of a band [15], assessing the sustainability of real estate [16], industrial robot selection, flexible manufacturing systems (FMS) selection, and non-traditional machining methods selection [17], etc.…”