Evaluation of Transport Enterprises' Brand Value Using Fuzzy-AHP Model

CICTP 2014 ◽  
2014 ◽  
Author(s):  
Yanru Zhu ◽  
Sitao Hu ◽  
Shutang Cui
Keyword(s):  
Author(s):  
Mehdi Ahmadi ◽  
Mehdi Nikseresht ◽  
Esmaeil Najafi ◽  
Behzad Morshedi

Introduction: Landfill siting is a difficult, complex, and protracted process, which requires evaluating different criteria. A suitable site should be located to dispose the municipal solid wastes hygienically (sanitary landfill), which is one of the fundamental subjects related to the environmental stability of the human settlements. The aim was to select a suitable waste disposal area using fuzzy-Analytic Hierarchy Process (AHP) models. Materials and Methods: To conduct this study, the information about elevation, slope, soil, drainage, vegetation, land use, population, and roads were produced and corrected in layers called shape files using the Geographic Information System (GIS) software. Finally, weights were applied in expert choice software by combining and overlapping information layers in GIS.  Results: Based on the fuzzy-AHP model, 6 sites were identified as suitable areas for municipal waste disposal. Among the selected sites, one site was highly suitable, two were suitable, and three sites were moderately suitable. These areas with an area of 83.8 km2 are located along the west part of the city adjacent to the Iraqi border. The unsuitable sites for municipal waste disposal were located in the eastern and northeastern areas. Conclusion: However, applying fuzzy-AHP model provides the necessary conditions for assessing effective relationships among discrete criteria. In the end, combining these models and their findings represented advantages of this kind of modeling and improved scoring in all of these pixels.


2018 ◽  
Vol 11 (2) ◽  
pp. 574-592 ◽  
Author(s):  
Elham Amini ◽  
Mohammad Baniasadi ◽  
Hossein Vahidi ◽  
Hossein Nematollahi ◽  
Mehrdad Khatami ◽  
...  

2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu

Based on a comprehensive analysis of the influencing factors and special features of cement concrete pavement overlaying technology, a fuzzy analytic hierarchy process (AHP) model is constructed for the comparison and selection of overlaying schemes. At first, the numerical weight for each criterion of the hierarchy is derived and tested. Then the feature matrices of all the schemes are constructed based on experts’ evaluation. The optimal scheme is chosen according to the numerical priorities of each scheme yielded by fuzzy calculation.


Mining ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 1-12
Author(s):  
Vahid Khosravi ◽  
Aref Shirazi ◽  
Adel Shirazy ◽  
Ardeshir Hezarkhani ◽  
Amin Beiranvand Pour

The eastern Lut block of Iran has a high potential for porphyry copper mineralization due to the subduction tectonic regime. It is located in an inaccessible region and has harsh arid conditions for traditional mineral exploration campaigns. The objective of this study is to use Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensing data for porphyry copper exploration in Simorgh Area, eastern Lut block of Iran. Hydrothermal alteration zones such as argillic, phyllic and propylitic zones associated with porphyry copper systems in the study were identified using false color composition (FCC), band ratio (BR), principal component analysis (PCA) and minimal noise fraction (MNF). The thematic alteration layers extracted from FCC, BR, PCA and MNF were integrated using hybrid Fuzzy-AHP model to generate a porphyry copper potential map for the study area. Four high potential zones were identified in the central, western, eastern and northeastern of the study area. Fieldwork was used to validate the approach used in this study. This investigation exhibits that the use of hybrid Fuzzy-AHP model for the identification of hydrothermal alteration zones associated with porphyry copper systems that is typically applicable to ASTER data and can be used for porphyry copper potential mapping in many analogous metallogenic provinces.


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