scholarly journals Evaluating Ports Environmental Performance based on the Fuzzy Analytic Hierarchy Process (FAHP)


Appropriate environmental performance is considered one of the most important indicators in the sustainable development of organizations and industries. Evaluating the environmental performance in ports as one of the two main parts of the maritime transport system is of particular importance. Therefore, the current study was designed and conducted to develop a method for evaluating the environmental performance of ports based on the fuzzy analytic hierarchy process (FAHP). In the present study, 22 experts in the field of environment and marine sciences were selected in 2020. Firstly, various studies on the factors affecting the environmental performance of ports were reviewed. Secondly, a questionnaire was designed to assess ports’ environmental performance. Thirdly, this questionnaire was developed using the Delphi technique. Finally, by determining the weight of each parameter, the method of environmental performance assessment in ports was developed based on the FAHP. The final normalized weights for six environmental performance factors including reactive and proactive performance, sustainability, socio-cultural, economic, and governance were estimated 0.202, 0.241, 0.226, 0.070, 0.080, and 0.182. Additionally, it was found that each of the parameters had a different weight and impact on these factors. The highest and lowest impact on the environmental performance index belonged to environmental risk assessment (weight=0.217), cultural effects, and justice (weight=0.107). In the current study, a new method was developed for evaluating the environmental performance of ports based on six factors, 32 parameters, and FAHP. Therefore, this method may provide an effective step in reducing environmental impacts and improving the level of environmental performance in ports to achieve the goal of green port.

Javad Rezaeian ◽  
F. Talebi ◽  
R. Alizadeh Foroutan

Today, the use of herbal medicine like artichoke is rapidly increasing worldwide. The consumption of artichoke as a food source is raising too. Therefore, it is necessary to determine the main factors affecting the growth of this plant which is investigated in this study. A comprehensive analysis of the literature is performed to detect these factors. A fuzzy Analytic Hierarchy Process (AHP) is employed to prioritize the factors. Results indicate that the conditions of irrigation and soil are the most important ones. In addition, the best conditions for artichoke growth are the medium level of irrigation, soil with suitable drainage, low temperature and sufficient sunlight.

Antonio Lombardi Netto ◽  
Valerio Antonio Pamplona Salomon ◽  
Miguel Ortiz-Barrios

There is an increasing pressure by community and customers forcing companies to insert environmental concerns in their practices. To help companies initiatives, the green bonds market was incepted. Our research question is how to select bonds in a growing billion-dollar market. This paper presents a multi-criteria decision analysis (MCDA) model to enable investors identify opportunities based not only in opinions, but grounded on objective facts. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are two MCDA methods applied in this paper. Top-fifteen green bonds ranked by specialized media were assessed with the proposed MCDA model. Criteria included the Environmental Performance Index (EPI) proposed by Yale University, and common financial indicators as assets, risks (β), and dividends. The new AHP–COPRAS rank is compared with another published by specialized media.

G. Marimuthu ◽  
G. Ramesh

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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