Abstract: There is variety of products of different brands available in the market for the customer of different levels which can satisfy their specific demands. The customer has been offered by means of variety of products of the same... more
Abstract: There is variety of products of different brands available in the market for the customer of different levels which can satisfy their specific demands. The customer has been offered by means of variety of products of the same species and category with different features and attribute. This enhance the competition between the brands, resultantly make efforts to stimulate the customers towards their products by means of different policies, which sometimes can make customer confuse between the brands and their products to – what to pick and what not to. In this research paper we have taken nine laptops of different brands of nearly same range of specifications and Multi Criteria Decision Making (MCDM) Methods are applied to choose the best option among the different alternatives. Entropy method is used to evaluate the weight of the feature attributes.
In this paper we used WPM method; it is a unique combination of weight sum model and weight product model. Due to its mathematical simplicity and ability to deliver more Compared with WSM and WPM Accurate results. As an effective... more
In this paper we used WPM method; it is a unique combination of weight sum model and weight product model. Due to its mathematical simplicity and ability to deliver more Compared with WSM and WPM Accurate results. As an effective decision-making tool Now widely accepted methods. In decision-making theory, Weighted Sum Model (WSM), Weighted Linear Combination (WLC) or Also known as Simple Admission Waiting (SAW) is used to evaluate multiple alternatives based on a list of weighted objectives (WOT) criteria used to rank different alternatives. Weighted linear composition is an analytical method used when making multiple attribute decisions (MADM) or considering multiple attributes. The weighted average is the average type calculated by multiplying the weight (or probability) associated with a particular event or effect by its relative magnitude effect. The WPM methods is the most ideal solution Short-distance and negative-best the solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Salem is got the first rank whereas is the Madurai is having the lowest rank.
In this paper, the ranking performance of six most popular and easily comprehensive multi-criteria decision-making (MCDM) methods, i.e. weighted sum method (WSM), weighted product method (WPM), weighted aggregated sum product assessment... more
In this paper, the ranking performance of six most popular and easily comprehensive multi-criteria 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.
