A Multiple Attribute Utility Theory Approach to Ranking and Selection

نویسندگان

  • John C. Butler
  • Douglas J. Morrice
  • Peter W. Mullarkey
چکیده

John Butler • Douglas J. Morrice • Peter W. Mullarkey Center for Information Technology Management, and Department of Accounting and MIS, The Ohio State University, Columbus, Ohio 43210 Department of Management Science and Information Systems, CBA 5.202, The University of Texas at Austin, Austin, Texas 78712-1175 Maxager Technology, Inc., 2173 E. Francisco Boulevard, Suite C, San Rafael, California 94901 [email protected][email protected][email protected]

برای دانلود رایگان 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

Selection of Sustainable Supplier for Medical Centers with Data Envelopment Analysis (DEA) & Multi-Attributed Utility Theory (MAUT) Approaches

Background and Objectives: The selection of the sustainable supplier is important for any industry. Medical centers are not an exception in this case, and selecting the best sustainable supplier is a major step towards increasing their productivity. This paper, using the Data Envelopment Analysis and then using Multi-Attributed Utility Theory as a backup approach to fix errors, attempts t...

متن کامل

Multiple attribute decision making with triangular intuitionistic fuzzy numbers based on zero-sum game approach

For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value ind...

متن کامل

A New Balancing and Ranking Method based on Hesitant Fuzzy Sets for Solving Decision-making Problems under Uncertainty

The purpose of this paper is to extend a new balancing and ranking method to handle uncertainty for a multiple attribute analysis under a hesitant fuzzy environment. The presented hesitant fuzzy balancing and ranking (HF-BR) method does not require attributes’ weights through the process of multiple attribute decision making (MADM) under hesitant conditions. For the rating of possible alternati...

متن کامل

Multiple attribute group decision making with linguistic variables and complete unknown weight information

Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...

متن کامل

Identifying and ranking the affecting factors for performance enhancement in maritime transport with a multi-branch decision-making approach based on the utility theory

Background and Theoretical Foundations: Transportation is one of the necessities for the economic development of any country. Among various modes of transportation such as air, land and sea the sea transportation is the cheapest, and it is more important as the worlds continue to grow. In Iran, due to political issues and sanctions, and since imposing limitation on marine transport cannot be im...

متن کامل

Designing a model of intuitionistic fuzzy VIKOR in multi-attribute group decision-making problems

Multiple attributes group decision making (MAGDM) is regarded as the process of determining the best feasible solution by a group of experts or decision makers according to the attributes that represent different effects. In assessing the performance of each alternative with respect to each attribute and the relative importance of the selected attributes, quantitative/qualitative evaluations ar...

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

عنوان ژورنال:
  • Management Science

دوره 47  شماره 

صفحات  -

تاریخ انتشار 2001