scholarly journals Application of fuzzy AHP approach to selection of organizational structure with consideration to contextual dimensions

Organizacija ◽  
2012 ◽  
Vol 45 (5) ◽  
pp. 246-254 ◽  
Author(s):  
Alireza Aslani ◽  
Feryal Aslani

The literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of variables. Thereby, the lack of operational decision-making models is felt to propose adequate structural designs in practice. In this article, the researchers employ a fuzzy multi attribute decision making model (FMADM) to select the most suitable organizational structure based on expert’s judgments and by deploying contextual dimensions of the organization. Since the organizational changes especially in the structural levels are along with resistances among involved staffs, the implementation of this model is a supportive tool in addition to help the managers to make a qualified decision and change.

2012 ◽  
Vol 193-194 ◽  
pp. 732-735
Author(s):  
Huan Yun Zhou ◽  
Liang Huang

In order to choose a reasonable treatment method for the soft soil foundation, the main factors which affect the soft soil foundation, including technical feasibility, economic rationality and environmental effect, are analyzed. Based on these key factors, a two-level evaluation factors structure for the selection of fare collection pattern is constructed. Taking optimal treatment method as the goal, key factors as attributes, and available methods as alternatives, a multi-attribute decision-making model is set. Under the situation of one case, the model is applied to determine the most suitable treatment method for the case. The best choice is deep mixing pile. The results show that the model is effective and reliable.


Author(s):  
Ahmet Çalık ◽  
Bilge Afşar

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.


Informatica ◽  
2009 ◽  
Vol 20 (2) ◽  
pp. 305-320 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Arturas Kaklauskas ◽  
Zenonas Turskis ◽  
Jolanta Tamošaitienė

2021 ◽  
Vol 170 ◽  
pp. 800-810
Author(s):  
Yimin Deng ◽  
Raf Dewil ◽  
Lise Appels ◽  
Shuo Li ◽  
Jan Baeyens ◽  
...  

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