A Fuzzy Multiple Criteria Decision Making Model for Airline Competitiveness Evaluation

نویسندگان

  • Hsuan-Shih Lee
  • Ming-Tao Chou
چکیده

This article presents a new fuzzy multiple criteria decision making model for the evaluation of airline competitiveness over a period. The evaluation problem is formulated as a fuzzy multiple criteria decision making problem and solved by our strength-weakness based approach. For finding out the strength and weakness of an airline over another airline, we present a preference function based on the extended fuzzy preference relation. The strength and weakness matrices are then calculated based on the preference function. We propose a method to aggregate the weights of criteria, strength matrix and weakness matrix into the strength indices and the weakness indices of airlines, by which each airline can identify its own strength and weakness. The strength and weakness indices can be further integrated into an overall performance indices, by which airlines can identify their competitiveness ranking.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

 Airline Alliances Partner Selection in Uncertain Environment: A Fuzzy Hybrid Evaluation Model Based on BSC

With respect to the importance of commercial alliances in airline hypercompetitive environment, partner performance evaluation is a critical matter before making any decision about partnership. In this article, utilizing Fuzzy theory, a hybrid airline evaluation model is developed in a way that all airline performance strategic dimensions are considered, as well as, it can deal with qualitative...

متن کامل

A decision making model for outsourcing of manufacturing activities by ANP and DEMATEL under fuzzy environment

Decision making about outsourcing or insourcing of manufacturing activities is a type of multiple criteria decision making (MCDM) problem, which requires considering quantitative and qualitative factors as evaluation criteria simultaneously. Therefore, a suitable MCDM method can be useful in this area as it can consider the interactions among quantitative and qualitative criteria. The analytic...

متن کامل

A new evaluation model for selecting a qualified manager by using fuzzy Topsis ‎approach

Considering the contemporary business settings, managers’ role is more than essential to the viability and further development of an organization. Managers should possess such skills in order to effectively cope with the competition. Multiple attributes decision making (MADM) is an approach employed to solve problems involving selection from among a finite number of alternatives. The aim of thi...

متن کامل

A Novel Hybrid Fuzzy Multi-Criteria Decision-Making Model for Supplier Selection Problem (A Case Study in Advertising industry)

Choosing the proper supplier has a critical role in design of supply chain. This problem is complicated because each supplier may fulfills some of the manufacturer criteria and choosing the best supplier is a Multiple-Criteria Decision Making problem. This paper proposes a novel hybrid approach to rank suppliers in advertising industry and considers two new criteria to evaluate the suppliers in...

متن کامل

A non-additive fuzzy hybrid model for supplier evaluation and prioritization: A case study of automotive brake system manufacturer

Nowadays, due to the competitive conditions of global market, corporations try to outsource their extraneous processes to third-party suppliers. So, selecting a proper supplier play a significant role in organization success. The supplier selection problem can be viewed as a group decision-making problem with multiple criteria. Since in previous researches the inter relationship between cri...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006