Multiple attribute decision-making solution to material selection problem based on modified fuzzy axiomatic design-model selection interface algorithm

2010 ◽  
Vol 31 (4) ◽  
pp. 2129-2133 ◽  
Author(s):  
Kadir Cicek ◽  
Metin Celik
Keyword(s):  
Decision Making ◽  
Model Selection ◽  
Material Selection ◽  
Axiomatic Design ◽  
Multiple Attribute Decision Making ◽  
Design Model ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Interface Algorithm

Material Selection Using a Novel Multiple Attribute Decision Making Method

2012 ◽  
pp. 252-266
Author(s):  
R. V. Rao ◽  
B. K. Patel
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Maker ◽  
Design Process ◽  
Material Selection ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

Material Selection Using a Novel Multiple Attribute Decision Making Method

2011 ◽  
Vol 1 (1) ◽  
pp. 43-56 ◽  
Author(s):  
R. V. Rao ◽  
B. K. Patel
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Maker ◽  
Design Process ◽  
Material Selection ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

scholarly journals Selection of Microstrip Patch Antenna Substrate for WLAN Application Using Multiple Attribute Decision Making Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Navneet Gupta ◽  
Rituraj Raman
Keyword(s):  
Decision Making ◽  
Patch Antenna ◽  
Material Selection ◽  
Dielectric Materials ◽  
Multiple Attribute Decision Making ◽  
Microstrip Patch Antenna ◽  
Microstrip Patch ◽  
Microwave Dielectric ◽  
Multiple Attribute ◽  
Selection Of

This paper presents a material selection approach for selecting microstrip patch antenna substrate for WLAN applications using multiple attribute decision making (MADM) approach. In this paper, different microwave dielectric materials for substrate and their properties like relative permittivity, quality factor, and temperature coefficient of the resonant frequency are taken into consideration and MADM approach is applied to select the best material for microstrip patch antenna. It is observed that Pb0.6Ca0.4ZrO3 is the best material for the antenna substrate in MPA for WLAN applications. It was observed that the proposed result is in accordance with the experimental finding thus justifying the validity of the proposed study.

Supplier Selection Using Combined Comparing Interval Grey Numbers and Dominance-Based Rough Sets

2011 ◽  
Vol 186 ◽  
pp. 601-605
Author(s):  
Li Ping Huang ◽  
Jin Jin Li
Keyword(s):  
Decision Making ◽  
Probability Distribution ◽  
Rough Sets ◽  
Supplier Selection ◽  
Multiple Attribute Decision Making ◽  
Selection Problem ◽  
New Method ◽  
Multiple Attribute ◽  
Supplier Selection Problem

Supplier selection is a MADM problem. In this paper, a new method to deal with the supplier selection problem is proposed. The work procedure is as follows: firstly, perfects the method of comparing grey numbers with their probability distribution. Secondly, applies the method of multiple attribute decision making based on dominance-base rough sets to the supplier selection problem. Finally, an example of supplier selection problem is used to illustrate the proposed approach.

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