Appropriateness of fuzzy weighted average and fuzzy TOPSIS based on left and right scores for optimal conceptual design

2020 ◽  
Vol 3 (2) ◽  
pp. 120
Author(s):  
Olayinka Mohammed Olabanji
Keyword(s):  
Conceptual Design ◽  
Weighted Average ◽  
Fuzzy Topsis ◽  
Fuzzy Weighted Average ◽  
Left And Right

Fuzzy weighted average based on left and right scores in Malaysia tourism industry

2013 ◽  
Author(s):  
Nor Hanimah Kamis ◽  
Kamilah Abdullah ◽  
Muhammad Hazim Zulkifli ◽  
Shahrazali Sahlan ◽  
Syaizzal Mohd Yunus
Keyword(s):  
Weighted Average ◽  
Tourism Industry ◽  
Fuzzy Weighted Average ◽  
Left And Right

scholarly journals Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

2014 ◽  
Vol 11 (2) ◽  
pp. 839-857 ◽  
Author(s):  
Zeng Shouzhen ◽  
Wang Qifeng ◽  
José Merigó ◽  
Pan Tiejun
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Aggregation Operator ◽  
Weighted Averaging ◽  
Business Decision ◽  
Ordered Weighted Averaging ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Weighted Average ◽  
Decision Making Problem ◽  
Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

Fuzzy weighted average: An improved algorithm

1992 ◽  
Vol 49 (3) ◽  
pp. 307-315 ◽  
Author(s):  
Tian-Shy Liou ◽  
Mao-Jiun J. Wang
Keyword(s):  
Weighted Average ◽  
Fuzzy Weighted Average ◽  
Improved Algorithm

scholarly journals Multi-Criteria Decision-Making Techniques for Solving the Airport Ground Handling Service Equipment Vendor Selection Problem

2019 ◽  
Vol 11 (12) ◽  
pp. 3466 ◽  
Author(s):  
Shen ◽  
Peng ◽  
Tu
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Quantitative Methods ◽  
Weighted Average ◽  
Fuzzy Topsis ◽  
Programming Approach ◽  
Vendor Selection ◽  
Multi Criteria Decision Making ◽  
Study Results ◽  
Ground Handling

Appropriate airport ground handling service (AGHS) equipment vendor selection (AGHSEVS) can prevent aircraft damage and delays in airlines schedules, and ensure reliable and high-quality ground handling service. Previous research has seldom integrated multi-criteria decision-making techniques with goal programming to solve the AGHSEVS problem. This paper describes a new system evaluation model for AGHSEVS by considering both qualitative and quantitative methods. We compare the fuzzy TOPSIS method based on fuzzy weighted average left and right score methods with multi-choice and multi-aspiration goal programming approach of an AGHS company in Taiwan. These study results can help airport ground handling service company managers make optimal decisions for AGHSEVS problems. We hope the practicability of the comparable model with slight modifications of real situation data can be used in other AGHS companies.

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