A decision making methodology for material selection using an improved compromise ranking method

For multiple attribute decision making, ranking and information aggregation problems are increasingly receiving attention. In a normal neutrosophic number, the ranking method does not satisfy the ranking principle. Moreover, the proposed operators do not take into account the correlation between any aggregation arguments. In order to overcome the deficiencies of the existing ranking method, based on the nonnegative normal neutrosophic number, this paper redefines the score function, the accuracy function, and partial operational laws. Considering the correlation between any aggregation arguments, the dual generalized nonnegative normal neutrosophic weighted Bonferroni mean operator and dual generalized nonnegative normal neutrosophic weighted geometric Bonferroni mean operator were investigated, and their properties are presented. Here, these two operators are applied to deal with a multiple attribute decision making problem. Example results show that the proposed method is effective and superior.

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New Ranking Method For Fuzzy Numbers By Their Expansion Center

Journal of Artificial Intelligence and Soft Computing Research ◽

10.1515/jaiscr-2015-0007 ◽

2014 ◽

Vol 4 (3) ◽

pp. 181-187 ◽

Cited By ~ 4

Author(s):

Zhenyuan Wang ◽

Li Zhang-Westmant

Keyword(s):

Decision Making ◽

Data Analysis ◽

Real Axis ◽

Fuzzy Number ◽

Fuzzy Numbers ◽

Ranking Method ◽

Important Criterion ◽

Real Numbers ◽

Numerical Index ◽

The Membership Function

Abstract Based on the area between the curve of the membership function of a fuzzy number and the horizontal real axis, a characteristic as a new numerical index, called the expansion center, for fuzzy numbers is proposed. An intuitive and reasonable ranking method for fuzzy numbers based on this characteristic is also established. The new ranking method is applicable for decision making and data analysis in fuzz environments. An important criterion of the goodness for ranking fuzzy numbers, the geometric intuitivity, is also introduced. It guarantees coinciding with the natural ordering of the real numbers.

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Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications ◽

10.1177/14644207211055661 ◽

2021 ◽

pp. 146442072110556

Author(s):

Dengfeng Wang ◽

Shenhua Li

Keyword(s):

Decision Making ◽

Material Selection ◽

The Body ◽

Analytic Hierarchy ◽

Weighting Method ◽

Lightweight Material ◽

Automotive Body ◽

Selection Decision ◽

Hierarchy Process ◽

Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

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