Selection of optimized air pollutant filtration technologies for petrochemical industries through multiple-attribute decision-making

2017 ◽  
Vol 197 ◽  
pp. 456-463 ◽  
Author(s):  
Parvin Moridi ◽  
Farideh Atabi ◽  
Jafar Nouri ◽  
Rasoul Yarahmadi
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Air Pollutant ◽  
Multiple Attribute ◽  
Petrochemical Industries ◽  
Selection Of

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.

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.

scholarly journals Approaches to multiple attribute decision making based on picture 2-tuple linguistic power Hamy mean aggregation operators

2019 ◽  
Author(s):  
Guiwu Wei ◽  
Jie Wang ◽  
Hui Gao ◽  
Cun Wei
Keyword(s):  
Decision Making ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Erp System ◽  
Multiple Attribute ◽  
Linguistic Power ◽  
System Selection ◽  
Selection Of

In this paper, the multiple attribute decision making (MADM) problems are investigated with picture 2-tuple linguistic information. Then, based on Hamy mean (HM) operator and dual Hamy mean (DHM) operator, the power average and power geometric operations are utilized to develop some picture 2-tuple linguistic power Hamy mean aggregation operators: picture 2-tuple linguistic power weighted Hamy mean (P2TLPWHM) operator, picture 2-tuple linguistic power weighted dual Hamy mean (P2TLPWDHM) operator, picture 2-tuple linguistic power ordered weighted Hamy mean (P2TLPOWHM) operator, picture 2-tuple linguistic power ordered weighted dual Hamy mean (P2TLPOWDHM) operator, picture 2-tuple linguistic power hybrid Hamy mean (P2TLPHHM) operator and picture 2-tuple linguistic power hybrid dual Hamy mean (P2TLPHDHM) operator. The prominent characteristic of these proposed operators are studied. Then, these operators are utilized to develop some approaches to solve the picture 2-tuple linguistic multiple attribute decision making problems. Finally, the proposed method is demonstrated through a practical example for enterprise resource planning (ERP) system selection of how the proposed methods help us and is effective in MADM problems.

scholarly journals Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

2018 ◽  
Vol 7 (3.12) ◽  
pp. 392 ◽  
Author(s):  
N Rishi Kanth ◽  
A Srinath ◽  
J Suresh Kumar
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Industrial Robots ◽  
Decision Makers ◽  
Analytical Network Process ◽  
Multiple Attribute ◽  
Network Process ◽  
Complex Relationships ◽  
Robot Selection ◽  
Selection Of

Analytical Network process (ANP), is applied here as a decision making technique for the selection of appropriate robots for industrial and automation applications. The core motivation of applying, in particular, the ANP technique is that robot selection is dependent upon a number of attributes and criteria which have strong influences/interdependencies upon each other. The ANP, as a multiple attribute decision making (MADM) technique for robot selection, captures the effects of these cross hierarchical dependencies, and appropriately maps the influences within the clusters and between the various alternatives. Simultaneously, the technique does not include the assumption of independence of higher-level elements from lower level elements and about the independence of the elements within a level. First, a set of attributes, which influence the selection of the robots, are identified. Next, using the various steps of ANP, viz., pair wise comparisons matrices and priority vectors determination and the development of the super-matrix the global weights of the attributes with respect to other attributes are determined. The final alternatives are then rated as per the graduated weights of the respective attributes. Thus, a comprehensive solution towards selection of robots enabling the decision-makers to suitably understand the complex relationships of the relevant qualitative and quantitative attributes in the decision-making is obtained. The technique is also illustrated using detailed analysis for a specific case of decision making between three robot suppliers and selection of appropriate robot from alternatives. In order to get more insight into relationships among various attributes and their effect on decision makers, the sensitivity analysis of the results with respect to determinant level attributes is carried out.   

Selection of Construction Materials using Multiple Attribute Decision Making (MADM) Approach

2015 ◽  
Vol 5 (2) ◽  
pp. 181
Author(s):  
A Ranjith Kumar Reddy ◽  
B Raja Shekar Rao ◽  
V Veenal ◽  
R Sathish Kumar
Keyword(s):  
Decision Making ◽  
Construction Materials ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Selection Of

scholarly journals Multiple Attribute Decision Making Algorithm via Picture Fuzzy Nano Topological Spaces

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 69
Author(s):  
Ibtesam Alshammari ◽  
Parimala Mani ◽  
Cenap Ozel ◽  
Harish Garg
Keyword(s):  
Decision Making ◽  
Numerical Data ◽  
Multiple Attribute Decision Making ◽  
Topological Spaces ◽  
The Novel ◽  
Multiple Attribute ◽  
The Difference ◽  
Comparison Table ◽  
Novel Concept ◽  
Selection Of

Picture fuzzy nano topological spaces is an extension of intuitionistic fuzzy nano topological spaces. Every decision in life ends with an answer such as yes or no, or true or false, but we have an another component called abstain, which we have not yet considered. This work is a gateway to study such a problem. This paper motivates an enquiry of the third component—abstain—in practical problems. The aim of this paper is to investigate the contemporary notion of picture fuzzy nano topological spaces and explore some of its properties. The stated properties are quantified with numerical data. Furthermore, an algorithm for Multiple Attribute Decision-Making (MADM) with an application regarding the file selection of building material under uncertainty by using picture fuzzy nano topological spaces is developed. As a practical problem, a comparison table is presented to show the difference between the novel concept and the existing methods.

scholarly journals Fuzzy Simple Additive Weighting Method in the Decision Making of Human Resource Recruitment

2016 ◽  
pp. 174
Author(s):  
Budi Prasetiyo ◽  
Niswah Baroroh
Keyword(s):  
Decision Making ◽  
Human Resource ◽  
Multiple Attribute Decision Making ◽  
Weighting Method ◽  
Multiple Attribute ◽  
Personnel Manager ◽  
Simple Additive Weighting ◽  
A Company ◽  
Selection Factor ◽  
Selection Of

The Company is one of the jobs that was founded to reduce unemployment. The progress of a company is determined by the human resources that exist within the company. So, the selection of workers will join the company need to be selected first. The hardest thing in making a selection factor is the effort to eliminate the subjectivity of the personnel manager so that every choice made is objective based on the criteria expected by the company. To help determine who is accepted as an employee in the company, we need a method that can provide a valid decision. Therefore, we use Fuzzy Multiple Attribute Decision Making with Simple Additive Weighting method (SAW) to decide to make in human resource recruitment. This method was chosen because it can provide the best alternative from several alternatives. In this case, the alternative is that the applicants or candidates. This research was conducted by finding the weight values for each attribute. Then do the ranking process that determines the optimal alternative to the best applicants who qualify as employees of the company. Based on calculations by the SAW obtained the two highest ranking results are A5 (alternative 5) and A1 (alternative 1), to obtain two candidates received.

scholarly journals A Decision Making in Selection of Bricks Using Multiple Attribute Decision Making Methods

2020 ◽  
Vol 5 (12) ◽  
pp. 121-125
Author(s):  
Satish Kumar Jain
Keyword(s):  
Decision Making ◽  
Building Materials ◽  
Minimum Cost ◽  
Small Variation ◽  
Multiple Attribute Decision Making ◽  
Weighting Method ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of

All building materials such as brick, cement, paint, lime, steel, glass, etc. of various brands with small variation in their specifications and cost are available in the markets of construction. It becomes very difficult for contractors, engineers, and owners to make right choice of materials logically to maintain good quality and minimum cost of the work. Improper choice may result in either bad quality or higher cost. Multiple Attribute Decision Making Methods are very helpful in selection of any material. These methods have been used largely in various fields of engineering for deciding best of available options. This paper presents an overview of Simple Additive Weighting Method (SAW), Weighted Product Method (WPM) and Analytical Hierarchy Process (AHP) methods which can be simply and successfully used for selection of bricks.

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