Evaluation on Product Form Image Using Linguistic Variables Based Fuzzy Analytic Hierarchy Process

2010 ◽  
Vol 102-104 ◽  
pp. 905-909
Author(s):  
Fu Qian Shi ◽  
Jian Feng Wu ◽  
Xiao Dong He ◽  
Hai Ning Wang ◽  
Shou Qian Sun
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Product Form ◽  
Linguistic Variables ◽  
Image Evaluation ◽  
Analytic Hierarchy ◽  
Web Based ◽  
Design Characteristics ◽  
Fuzzy Linguistic ◽  
Hierarchy Process

Due to the uncertainness and fuzziness of image evaluation on product form, many fuzzy multi-criteria decision making approaches are applied in this fields. Fuzzy linguistic is usually used by expert to evaluate the importance of the criteria and to rate the alternatives; hence, we integrating fuzzy linguistic based analytic hierarchy process methodology to image evaluation of product form. Trapezoidal fuzzy number and 11-scale linguistic variables were applied in this model. The proposed approach started by a web-based image evaluation system, and then target products were extracted and divided in many design characteristics. Fuzzy linguistic based AHP was applied to generate the critical forms that ordered by vary image adjectives. A case study of mobile phone design was demonstrated the effectiveness.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

An Evaluation System for IT Outsourcing Customer Satisfaction Using the Analytic Hierarchy Process

2008 ◽  
pp. 1219-1235
Author(s):  
Yong Ki Yoon ◽  
Kun Shin Im
Keyword(s):  
Customer Satisfaction ◽  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
It Outsourcing ◽  
Analytic Hierarchy ◽  
Literature Reviews ◽  
Customer Satisfaction Evaluation ◽  
Satisfaction Evaluation ◽  
Hierarchy Process

Many companies recently have been choosing information technology (IT) outsourcing in response to complicated information systems and various internal requirements. In order to monitor and maintain a high quality of IT outsourcing vendors’ services, it is necessary to develop a system to evaluate IT outsourcing customer satisfaction. The system can be used as a tool for choosing IT outsourcing providers. Through the literature reviews and expert interviews, we propose the evaluation system of the IT outsourcing customer satisfaction. Using AHP (analytic hierarchy process) technique, attributes associated with customer satisfaction in IT outsourcing environments are then rated in terms of their importance. The customer satisfaction evaluation system is applied to IT outsourcing service receivers in Korea to demonstrate its practical implications.

The Entropy Weight Fuzzy Comprehensive Evaluation of Green Logistics Cost Management

2013 ◽  
Vol 397-400 ◽  
pp. 2667-2671 ◽  
Author(s):  
Hai Dong ◽  
Sheng Nv Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Cost Management ◽  
Fuzzy Analytic Hierarchy Process ◽  
Green Logistics ◽  
Entropy Weight ◽  
Cost Index ◽  
Analytic Hierarchy ◽  
Logistics Cost ◽  
Hierarchy Process

For green logistics, entropy fuzzy analytic hierarchy process is applied to evaluate its cost management. Firstly, based on the theory of environment resources value, the composition of green logistics cost is put forward. Then, a green logistics costs management evaluation system is established. Based on the dynamic uncertainty of environment cost index, entropy fuzzy analytic hierarchy process is applied to evaluate it. Finally, the entropy weight fuzzy analytic hierarchy process is reasonable and effective for green logistics cost management by numerical examples.

The Evaluation of Wheelchair Comfort Based on Analytic Hierarchy Process

2011 ◽  
Vol 415-417 ◽  
pp. 1055-1059
Author(s):  
Tian Min Guan ◽  
Mei Chao Qin ◽  
Yan Li Yuan
Keyword(s):  
Decision Making ◽  
Quantitative Analysis ◽  
Environmental Factors ◽  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
Subjective Evaluation ◽  
Analytic Hierarchy ◽  
Physiological Factors ◽  
Scientific Decision ◽  
Hierarchy Process

Abstract. The wheelchair comfort is a subjective evaluation of users, which is influenced by wheelchair itself, environmental factors and physiological factors. It is difficult to make evaluation about wheelchair comfort by a general approach. In this essay, Analytic Hierarchy Process, based on a scientific decision-making idea which combines qualitative analysis with quantitative analysis, was used to establish the evaluation system about wheelchair comfort indicator, and the weight of each indicator was determined. For this reason, the evaluation of wheelchair comfort is more scientific and reasonable.

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