Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS

Ren, Lifeng; Zhang, Yanqiong; Wang, Yiren; Sun, Zhenqiu

doi:10.1093/amrx/abm005

Cited by 75 publications

(74 citation statements)

References 4 publications

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“…(1981) and ever since it has remained one of the most widely used MCDM method with so many literatures published and in several different field of study including, Chemical science (Soufi et al, 2015), Design (Yang & Wu, 2008), Engineering (Zhu et al, 2012), Health and medicine (Chou et al, 2012) etc. However, due to some of its limitation, many different improvement and modifications have been proposed, prominently among such improvement is the M-TOPSIS model by Ren et al (2007).…”

Section: M-topsis and Fuzzy Shannon's Entropymentioning

confidence: 99%

“…The M-TOPSIS method is "described as a process of calculating the distance between the alternatives and the reference points in the D+D−-plane and constructing the R value to evaluate the quality of alternative" (Ren et al, 2007;Aikhuele & Turan, 2016a). The M-TOPSIS method is unique for its ability to solve ranking reversals issues in TOPSIS and to evaluate failure when alternatives are symmetrical.…”

Section: M-topsis and Fuzzy Shannon's Entropymentioning

confidence: 99%

“…The model which is based on fuzzy Shannon's entropy and the Modified Technique for Order Preference by Similarity to the Ideal Solution (M-TOPSIS) model originally proposed in (Ren et al 2007;Aikhuele & Turan 2016a;b) is applied to the lean product development practices with respective to the criteria; management and leadership, financial capabilities, skills and expertise and organization culture which was initially introduced in (Shah and Ward 2003) for lean manufacturing, which the author believe could provide a guide or roadmap for product development managers on lean implementation route and in the adoption of lean practices in the product development process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Systematic model for lean product development implementation in an automotive related company

Aikhuele¹

2017

10.5267/j.msl

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Lean product development is a major innovative business strategy that employs sets of practices to achieve an efficient, innovative and a sustainable product development. Despite the many benefits and high hopes in the lean strategy, many companies are still struggling, and unable to either achieve or sustain substantial positive results with their lean implementation efforts. However, as the first step towards addressing this issue, this paper seeks to propose a systematic model that considers the administrative and implementation limitations of lean thinking practices in the product development process. The model which is based on the integration of fuzzy Shannon's entropy and Modified Technique for Order Preference by Similarity to the Ideal Solution (M-TOPSIS) model for the lean product development practices implementation with respective to different criteria including management and leadership, financial capabilities, skills and expertise and organization culture, provides a guide or roadmap for product development managers on the lean implementation route.

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Section: M-topsis and Fuzzy Shannon's Entropymentioning

confidence: 99%

Section: M-topsis and Fuzzy Shannon's Entropymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Systematic model for lean product development implementation in an automotive related company

Aikhuele¹

2017

10.5267/j.msl

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“…In the modified version of the method, presented by Ren et al [18], the "optimized ideal reference point" (minpDj q and maxpDj q) is introduced. The modified relative closeness C M for alternative j is shown in Equation (16), where the best alternative presents the smallest value.…”

Section: Promethee IImentioning

confidence: 99%

Methodology for Selecting Best Management Practices Integrating Multiple Stakeholders and Criteria. Part 1: Methodology

Aceves¹,

Fuamba²

2016

Water

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Abstract:The implementation of stormwater Best Management Practices (BMPs) could help re-establish the natural hydrological cycle of watersheds after urbanization, with each BMP presenting a different performance across a range of criteria (flood prevention, pollutant removal, etc.). Additionally, conflicting views from the relevant stakeholders may arise, resulting in a complex selection process. This paper proposes a methodology for BMP selection based on the application of multi-criteria decision aid (MCDA) methods, integrating multiple stakeholder priorities and BMP combinations. First, in the problem definition, the MCDA methods, relevant criteria and design guidelines are selected. Next, information from the preliminary analysis of the watershed is used to obtain a list of relevant BMPs. The third step comprises the watershed modeling and analysis of the BMP alternatives to obtain performance values across purely objective criteria. Afterwards, a stakeholder analysis based on survey applications is carried out to obtain social performance values and criteria priorities. Then, the MCDA methods are applied to obtain the final BMP rankings. The last step considers the sensitivity analysis and rank comparisons in order to draw the final conclusions and recommendations. Future improvements to the methodology could explore inclusion of multiple objective analysis, and alternative means for obtaining social performance values.

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“…It creates an understanding of the inherent relationship between the Relative closeness (R) value and alternative evaluation. The Modified-TOPSIS model is "described as a process of calculating the distance between the alternatives and the reference points in the D + and the D -plane which results in the construction of the R value to evaluate the quality of the alternative" (Aikhuele & Turan, 2016a;Ren et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection

Aikhuele¹

2017

10.5267/j.msl

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This paper presents a new approach for design concept selection by using an integrated Fuzzy Analytical Hierarchy Process (FAHP) and an Interval-valued intuitionistic fuzzy modified TOP-SIS (IVIF-modified TOPSIS) model. The integrated model which uses the improved score function and a weighted normalized Euclidean distance method for the calculation of the separation measures of alternatives from the positive and negative intuitionistic ideal solutions provides a new approach for the computation of intuitionistic fuzzy ideal solutions. The results of the two approaches are integrated using a reflection defuzzification integration formula. To ensure the feasibility and the rationality of the integrated model, the method is successfully applied for evaluating and selecting some design related problems including a real-life case study for the selection of the best concept design for a new printed-circuit-board (PCB) and for a hypothetical example. The model which provides a novel alternative, has been compared with similar computational methods in the literature.

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Comparative Analysis of a Novel M-TOPSIS Method and TOPSIS

Cited by 75 publications

References 4 publications

Systematic model for lean product development implementation in an automotive related company

Systematic model for lean product development implementation in an automotive related company

Methodology for Selecting Best Management Practices Integrating Multiple Stakeholders and Criteria. Part 1: Methodology

Interval-valued intuitionistic fuzzy multi-criteria model for design concept selection

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