Integration of fuzzy analytic hierarchy process and multi-objective fuzzy goal programming for selection problems: An application on roadheader selection

The paper deals with the group prioritization problem in the fuzzy analytic hierarchy process. We extend the fuzzy preference programming method to fuzzy group prioritization by introducing important weights of decision-makers (DMs). The modified prioritization problem is represented as a weighted fuzzy goal programming model. Additionally, we represent the uncertain DMs' importance weights as fuzzy numbers and modify the goal programming model by a possibilistic approach. Both proposed models transform the initial prioritization problems with fuzzy or crisp important weights into equivalent crisp linear programs. Unlike the known fuzzy prioritization methods, the proposed approach does not require an additional defuzzification procedure for final ranking of alternatives and can deal with incomplete set of comparison judgments.

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A Fuzzy Analytic Hierarchy Process Approach for Multi-objective Molecular Design Problem

Computer Aided Chemical Engineering - 27th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-63965-3.50163-x ◽

2017 ◽

pp. 967-972 ◽

Cited By ~ 2

Author(s):

Jecksin Ooi ◽

Michael Angelo B. Promentilla ◽

Raymond R. Tan ◽

Denny K.S. Ng ◽

Nishanth G. Chemmangattuvalappil

Keyword(s):

Analytic Hierarchy Process ◽

Design Problem ◽

Molecular Design ◽

Process Approach ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Multi Objective ◽

Hierarchy Process

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Integration of Financial and Non-financial Information for Decision-Making by Using Goal Programming and Fuzzy Analytic Hierarchy Process on a Capital Budgeting Investment Case Study

Advances in Intelligent Decision Technologies - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-14616-9_16 ◽

2010 ◽

pp. 171-179

Author(s):

Yu-Cheng Tang ◽

Ching-Ter Chang

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Goal Programming ◽

Capital Budgeting ◽

Financial Information ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Hierarchy Process

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DEVELOPMENT OF AN INTEGRATED DISCOUNTING STRATEGY BASED ON VENDORS’ EXPECTATIONS USING FAHP AND FUZZY GOAL PROGRAMMING

Technological and Economic Development of Economy ◽

10.3846/20294913.2016.1213205 ◽

2017 ◽

Vol 24 (2) ◽

pp. 635-652 ◽

Cited By ~ 4

Author(s):

Irem UCAL SARI

Keyword(s):

Market Share ◽

Goal Programming ◽

Numerical Study ◽

Fuzzy Goal Programming ◽

Discount Rates ◽

Analytic Hierarchy ◽

Total Profit ◽

Fuzzy Goal ◽

Hierarchy Process

The main goal of a company is to increase its market share and total profits at the same time. However, these two objectives conflict if discount rates are applied to vendors. The objective of this paper is to develop an integrated discounting strategy method to effectively manage the transactions of the vendors by determining the optimum discount rates which balance the increase on the market share and the total profit. With the proposed methodology which utilizes fuzzy analytic hierarchy process and fuzzy goal programming, determination of the discount rates of each vendor under different discounting strategies is facilitated. This enables the vendors to choose the most suitable discounting strategy with the best applicable discount rate and enables the managers to predict the transactions of the vendors. The proposed method is validated with a numerical study conducted on a pilot region of an international company.

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