Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection

2011 ◽  
Vol 11 (8) ◽  
pp. 5099-5109 ◽  
Author(s):  
Harish C. Rajput ◽  
Abbas S. Milani ◽  
Andrew Labun
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Fabrication Process ◽  
Wafer Fabrication ◽  
Time Dependency ◽  
Process Selection

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.

scholarly journals Fuzzy AHP-TOPSIS multi-criteria decision analysis applied to the Indus Reservoir system in Pakistan

2020 ◽  
Vol 20 (5) ◽  
pp. 1933-1949
Author(s):  
Shahmir Janjua ◽  
Ishtiaq Hassan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Decision Support Tool ◽  
Multi Criteria Decision Making ◽  
Indus River ◽  
Support Tool ◽  
Reservoir System ◽  
Weight Calculation

Abstract The ranking of the reservoirs in Pakistan is an important decision and it has a vital impact on the sustainability of the region and the economic operation of the reservoir. The reservoirs ranking is a vital problem which involves multi-criteria decision-making. The framework proposed in this paper involves the fuzzy AHP-TOPSIS method for the ranking of reservoirs in Pakistan. Potential feasible locations are identified from the Water and Power Development Authority, Pakistan. Weight calculation for the criteria is done by the fuzzy AHP method, which is a multi-criteria decision-making method. In order to model the fuzziness, equivocacy, incomplete knowledge and ambiguity, the fuzzy AHP is used. Furthermore, in order to rank the selected reservoirs based on their performance, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied, which is a multicriteria decision making method. We demonstrate the application of the above-mentioned methods to the case study of the Indus Reservoir system in Pakistan. A decision support tool is provided for the decision makers in this paper to manage, evaluate and rank the planned reservoirs in the Indus River.

Evaluation of Renewable Energy Alternatives using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

2015 ◽  
pp. 191-224 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Priority Weights ◽  
Interval Type

The selection among renewable energy alternatives is a fuzzy multicriteria problem with many conflicting criteria under uncertainty. In many decision-making problems, the Decision Makers (DM) define their preference in linguistic form since it is relatively difficult to provide exact numerical values during the evaluation of alternatives. Therefore, in many studies, fuzzy logic is successfully used to model this kind of uncertainty. In this chapter, the authors try to capture this uncertainty by using interval type-2 fuzzy sets and hesitant fuzzy sets. They propose a fuzzy multicriteria method for the evaluation of renewable energy alternatives, in which the priority weights of the criteria are determined by interval type-2 fuzzy AHP, and the alternatives are ranked using hesitant fuzzy TOPSIS. A case study is also given.

Research on Evaluation of Group-Buying Website Based on FAHP

2011 ◽  
Vol 204-210 ◽  
pp. 1588-1593 ◽  
Author(s):  
Shou Ming Chen ◽  
Ru Li
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Group Buying ◽  
Research On Evaluation ◽  
Hierarchy Process

The group-buying online, a boom of e-commerce phenomenon, expands rapidly in China. Hence, the evaluation of group-buying website is essential for CEO to improve their website performance and for consumers to select the platform to purchase. However, the evaluation of group-buying website is a multiple-criteria decision making (MCDM) problem that is not easy to determine. For this reason, we propose analytical hierarchy process based approaches Fuzzy AHP, to evaluate the group-buying websites. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

Evaluation of Renewable Energy Alternatives Using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP

2017 ◽  
pp. 1378-1412 ◽  
Author(s):  
Başar Öztayşi ◽  
Cengiz Kahraman
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Fuzzy Sets ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Priority Weights ◽  
Interval Type

The selection among renewable energy alternatives is a fuzzy multicriteria problem with many conflicting criteria under uncertainty. In many decision-making problems, the Decision Makers (DM) define their preference in linguistic form since it is relatively difficult to provide exact numerical values during the evaluation of alternatives. Therefore, in many studies, fuzzy logic is successfully used to model this kind of uncertainty. In this chapter, the authors try to capture this uncertainty by using interval type-2 fuzzy sets and hesitant fuzzy sets. They propose a fuzzy multicriteria method for the evaluation of renewable energy alternatives, in which the priority weights of the criteria are determined by interval type-2 fuzzy AHP, and the alternatives are ranked using hesitant fuzzy TOPSIS. A case study is also given.

A New Decision Making Approach for Supplier Selection: Hesitant Fuzzy Axiomatic Design

2018 ◽  
Vol 17 (04) ◽  
pp. 1085-1117 ◽  
Author(s):  
Mustafa Batuhan Ayhan
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Axiomatic Design ◽  
Decision Makers ◽  
Pairwise Comparisons ◽  
Linguistic Terms ◽  
Weighted Version ◽  
Fuzzy Linguistic

This paper deals with the hesitancy in decision making. Since the decision makers generally doubt to evaluate the alternatives and the criteria in hesitant situations, the existing methods do not satisfy them. Therefore, hesitant versions of Fuzzy-AHP (HF-AHP) and Fuzzy Axiomatic Design (HF-AD) are introduced in this paper. HF-AHP lets the decision makers to use hesitant fuzzy linguistic terms while performing the pairwise comparisons when they are indecisive. HF-AD is used to define the system and design ranges of the items in a hesitant situation. In addition, a case study is revealed as a numerical example in which the best supplier is selected among six alternatives regarding five criteria. In that case study, both weighted and unweighted versions of HF-AD are used. In the weighted version, HF-AHP is used to determine the weights of the criteria. Furthermore, sensitivity analysis is performed to check the robustness of the decision. Moreover, these proposed techniques are compared with non-hesitant versions. According to the results, the decision makers feel more confident with the hesitant versions. Hence, the primary contributions of this study are to develop HF-AD and HF-AHP which are helpful for the decision makers to express their preferences in hesitant situations.

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