Livable Index System’s Establishment and Analysis of Old Community Renovation

2013 ◽  
Vol 671-674 ◽  
pp. 2214-2218 ◽  
Author(s):  
Meng Ling Li ◽  
Xing Meng
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Analytic Hierarchy ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Definition Of ◽  
Hierarchy Process

Old community renovation is an important project about the livelihood of people, and the nation is catching the work. This paper firstly analyzes the definition of livable community and the livable condition of old community renovation, establishing the livable index system and the livable evaluation model of old community renovation. The paper employs Analytic Hierarchy Process to determine the index weighs and takes use of Fuzzy Comprehensive Evaluation Method to analyze the case.

Research on Green Degree Evaluation of Reverse Logistics System Based on Fuzzy Comprehensive Evaluation Method

2012 ◽  
Vol 524-527 ◽  
pp. 3750-3753 ◽  
Author(s):  
Zhan Feng Zhou
Keyword(s):  
Reverse Logistics ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Logistics System ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Hierarchy Process

Implementation of reverse logistics is the foundation of developing circular economy and realizing sustainable development. According to the characters of green logistics, multi level evaluation index system of green degree of reverse logistics system is built in this paper, the weight of each index is determined by using the analytic hierarchy process, the system green degree is evaluated by applying the fuzzy comprehensive evaluation method and the result is analyzed. The result shows that the method is simple, accurate and has a good application.

Study on a Rough Evaluation of Engineering Project Informatization

2014 ◽  
Vol 584-586 ◽  
pp. 2613-2617
Author(s):  
Li Shen ◽  
Yun Ting Zhou ◽  
Ji Rong Song
Keyword(s):  
Construction Industry ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Engineering Project ◽  
Analytic Hierarchy ◽  
Comprehensive Evaluation Method ◽  
Hierarchy Process ◽  
Engineering Projects

With the development of construction industry, engineering projects are becoming more and more large and complicated that makes the informatization more and more important, at the same time it produced a need of evaluation of engineering project informatization. A rough evaluation of engineering project informatization is established, and using the Fuzzy Comprehensive Evaluation Method based on Analytic Hierarchy Process (AHP) to evaluate the model quantitatively. Authors run the rough evaluation model by using the data of a simulation investigation performed on one project and obtain a result of the project's informatization level.

scholarly journals Assessing the performance of microfinance lending process using AHP-fuzzy comprehensive evaluation method

2017 ◽  
Vol 9 ◽  
pp. 184797901773669 ◽  
Author(s):  
Youssef Lamrani Alaoui ◽  
Mohamed Tkiouat
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Research Literature ◽  
Microfinance Institutions ◽  
Analytic Hierarchy ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Client Retention ◽  
Comprehensive Evaluation Method ◽  
Hierarchy Process

Many studies focus on microfinance institutions (MFIs) profitability, client retention, and default rate. Yet, they do not pay much attention to the way in which microfinance (MF) can improve the living conditions of the poor and satisfy their needs. This article presents a new way to assess the performance of MF lending process based on analytic hierarchy process (AHP)-fuzzy comprehensive evaluation method. The aim is to suggest some solutions to improve the performance of processes that create and support MF products and services. Not only should this study contribute to the research literature but it can also help the MFIs to control the risk derived from their operations and increase client satisfaction. Thus, MFIs can enhance their performance and their role in reducing poverty.

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