RIM-reference ideal method in multicriteria decision making

Cables, Elio; Lamata, María Teresa; Verdegay, José L.

doi:10.1016/j.ins.2015.12.011

Cited by 106 publications

(53 citation statements)

References 37 publications

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“…Moreover, here define a closeness coefficient to determine the ranking order of the alternative. The classical version of the method, as proposed by Hwang and Yoon [13], was chosen as the focus of this paper based on the literature review conducted by de Farias Aires and Ferreira [26] and also because, to our knowledge, only four papers were published on RRP in the TOPSIS method: (i) García-Cascales and Lamata [27] proposed modifications to the normalization procedure and the introduction of fictitious alternatives; (ii) Senouci, Mushtaq, Hoceini, and Mellouk [29] analyzed the effect of four normalization procedures on RRP; (iii) Mufazzal and Muzakkir [28] proposed the incorporation of two new measures called the Weighted Proximity Index and the Overall Proximity Value to minimize the RRP; and (iv) Cables, Lamata, and Verdegay [30] propose a new concept for an ideal solution called the Reference Ideal Method. These papers have presented interesting ideas and solutions, they have presented some limitations, such as: (i) they consider only the addition and removal of alternatives in order to evaluate cases of temperature.…”

Section: Multi-attribute Decision Making (Madm) Andmentioning

confidence: 99%

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A General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems

Parida¹

2019

IJITEE

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The TOPSIS method, commonly known as the technique for order performance by similarity to ideal solutions, is one of the most popular approaches used in the multi-attribute decision making (MADM). In this method has some advantages are simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. In the last four decades world is getting warmer. It is whether the cause of human activity or natural variability. The thermometer reading all round the world have risen steadily since the beginning of the industrial revolution. According to the ongoing temperature analysis conducted by scientist at NASA’s Goddard Institute for Space Studies (GISS), the average global temperature on the Earth has increased about 0.80 Celsius since 1880. So, applying this method to determines the best solution from a set of alternatives with certain attributes. The best alternative is chosen based on its Euclidean distance from the ideal solution. The aim of this paper to systematizes the knowledge within the scope of techniques of decision taking with the use of the TOPSIS method. Simple numerical examples that reference real situations show practical applications of different aspects of this method.

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Section: Multi-attribute Decision Making (Madm) Andmentioning

confidence: 99%

“…[31] and Mufazzal and Muzakkir [28]; and (v) they include modifications to the method that may make them difficult for DMs to use Cables et al [30].…”

Section: Multi-attribute Decision Making (Madm) Andmentioning

confidence: 99%

A General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems

Parida¹

2019

IJITEE

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“…Moreover, among the discarded Web services, we can find candidates that can be promoted and proposed to the user as an interesting solution in terms of performances. To deal with this issue, we have proposed in our other work, a selection approach based on a new MCDM method, called RIM (Reference Ideal Method) . Our proposition makes it possible to select Web services in the presence of value constraints in the user request, although the latter are not all satisfied.…”

Section: Introductionmentioning

confidence: 99%

“…To deal with this issue, we have proposed in our other work, 12 a selection approach based on a new MCDM method, called RIM (Reference Ideal Method). 13 Our proposition makes it possible to select Web services in the presence of value constraints in the user request, although the latter are not all satisfied. RIM is a new MCDM method that has not been yet applied in any other domain.…”

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confidence: 99%

How to deal with QoS value constraints in MCDM based Web service selection

Serrai

Abdelli

Mokdad

et al. 2018

Concurrency and Computation

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Summary The aim of the current research is to develop a more accurate Web service selection approach that can deal with value constraints on QoS criteria in the user request. The purpose is to be able to promote services even when all the value constraints are not satisfied and hence rank them according to their closeness to meet the latter. For this effect, we use MCDM (Multi Criteria Decision making) methods together with suitable normalization techniques at different stages of the process. First of all, we consider an extension of the AHP method to compute and normalize the weights associated with the QoS criteria considered in the Web service selection. Second, we introduce a more consistent normalization technique, called OMRI, to normalize data according to value constraints. Third, we propose to extend different ranking MCDM methods to the OMRI normalization so that it becomes possible for them to cope with value constraints. The considered methods are SAW, TOPSIS, VIKOR, and WPM. To compare the accuracy of the extended ranking methods, we use the Borda compromise solution together with different similarity ratios. To validate the solution, several experiments have been conducted on a real dataset as well as on an artificial one.

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“…In machining operations, researchers rarely developed MCDM models. Reference Ideal Method has been proposed as a multi criteria decision making model recently in the literature [36]. In this study, this method is combined with Taguchi experimental design.…”

Section: Introductionmentioning

confidence: 99%

Hybridizing a Multi Response Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems

Sofuoğlu¹

2017

ijisae

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New materials lead to the occurrence of high technology industries. These materials are high strength, corrosion and heat resistant steel alloys, titanium, ceramics, composites, and other non-metallic materials. Conventional machining methods are not proper to machine these materials in terms of high surface quality. Such materials are generally processed using non-traditional machining methods. Multi criteria decision making models (MCDM) are extensively used in material-process selection, and optimization of machining problems in engineering. In this study, a novel hybrid optimization model is proposed. Taguchi method is hybridized with Reference Ideal Method. The model is tested using two case studies (conventional and non-traditional machining problems) taken from literature. The proposed model can be used by engineers and operators in manufacturing environment.

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RIM-reference ideal method in multicriteria decision making

Cited by 106 publications

References 37 publications

A General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems

A General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems

How to deal with QoS value constraints in MCDM based Web service selection

Hybridizing a Multi Response Taguchi Algorithm with Reference Ideal Method to Solve Machining Problems

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