An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem

2021 ◽  
pp. 1-14
Author(s):  
Pengdan Zhang ◽  
Qing Liu ◽  
Bingyi Kang
Keyword(s):  
Decision Making ◽  
Decision Model ◽  
Fuzzy Ahp ◽  
Weighted Average ◽  
Experimental Simulation ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Multi Attribute Decision Making ◽  
Ordered Weighted Average ◽  
Effective Decision Making

Multi-attribute decision-making (MADM) is an important part of modern decision-making science. Fuzzy Analytic Hierarchy Process (Fuzzy AHP) is a popular model to deal with the issue of MADM for its flexible and effective advantages. However, The traditional Fuzzy AHP with some limitations does not consider the preference (attitude) of decision makers (DMs). In addition, some ideas of combining Ordered Weighted Average (OWA) and Fuzzy AHP don’t investigated the MADM well. Some programs are only applicable to a few examples, and more general cases do not result in effective decision making. Considering these shortcomings, an OWA-Fuzzy AHP decision model using OWA weights and Fuzzy AHP is proposed in this paper. Our contribution is that the proposed method can handle situations where the degree of fuzzy synthesis is not intersected. Moreover, the loss of information can be reduced in the process of applying the proposed method, so that the decision result is more reasonable than the previous methods. Several examples and comparative experimental simulation are given to illustrate the effectiveness and superiority of the proposed model.

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.

Multi-Attribute Decision Making Using Interval Type-2 Fuzzy AHP and Its Application on Borsa Istanbul (BIST)

2021 ◽  
pp. 30-56
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Hale Gonce Kocken
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Fuzzy Ahp ◽  
Short Review ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Interval Type

Analytic hierarchy process (AHP) is a widely used multi-attribute decision-making (MADM) approach. Due to the complexity and uncertainty involved in real world problems, decision makers might be prefer to make fuzzy judgments instead of crisp 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 has been introduced to characterize linguistic variables. Fuzzy AHP methods have recently been extended by using type-2 fuzzy sets. Type-2 fuzzy set theory incorporates the uncertainty of membership functions into the fuzzy set theory. In this chapter, the authors firstly provide a short review on applications of interval type-2 fuzzy AHP on MADM problems. Then, they present a very efficient MADM technique, interval type-2 fuzzy AHP, to solve the portfolio selection problem that is to decide which stocks are to be chosen for investment and in what proportions they will be bought. And finally, they provided a case study on BIST.

A Enterprises Supplier Evaluating System Using Fuzzy-AHP

2013 ◽  
Vol 475-476 ◽  
pp. 1050-1054 ◽  
Author(s):  
Lan Cai ◽  
Shun Sheng Guo ◽  
Lu Ming Zhou
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Evaluation Process ◽  
Systematic Design ◽  
Analytic Hierarchy ◽  
Qualitative And Quantitative ◽  
Decision Making Problem ◽  
Using Data ◽  
Hierarchy Process

Supplier selection is a multi-criteria decision making problem which includes evaluation factors. In order to select the best suppliers, it is crucial to considering the both qualitative and quantitative factors simultaneously. The analytic hierarchy Process is a kind of Decision-making method with the combination of quantity and quality. Combining with fuzzy algorithm, this paper established a supplier evaluating system based on ERP database, discussing many issues in the systematic design and developing the implement step. The system make the evaluation process transparent by using data mining and fuzzy-AHP algorithm, and avoid the disturbing from excessively subjective factors. Thus it can guarantee the fairness of the assessment. Finally, the example and conclusion are given.

scholarly journals Bipolar Complex Fuzzy Hamacher Aggregation Operators and Their Applications in Multi-Attribute Decision Making

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 23
Author(s):  
Tahir Mahmood ◽  
Ubaid ur Rehman ◽  
Jabbar Ahmmad ◽  
Gustavo Santos-García
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Numerical Example ◽  
Multiple Attribute ◽  
Multi Attribute Decision Making ◽  
Ordered Weighted Average

On the basis of Hamacher operations, in this manuscript, we interpret bipolar complex fuzzy Hamacher weighted average (BCFHWA) operator, bipolar complex fuzzy Hamacher ordered weighted average (BCFHOWA) operator, bipolar complex fuzzy Hamacher hybrid average (BCFHHA) operator, bipolar complex fuzzy Hamacher weighted geometric (BCFHWG) operator, bipolar complex fuzzy Hamacher ordered weighted geometric (BCFHOWG) operator, and bipolar complex fuzzy Hamacher hybrid geometric (BCFHHG) operator. We present the features and particular cases of the above-mentioned operators. Subsequently, we use these operators for methods that can resolve bipolar complex fuzzy multiple attribute decision making (MADM) issues. We provide a numerical example to authenticate the interpreted methods. In the end, we compare our approach with existing methods in order to show its effectiveness and practicality.

A novel hybrid two-step group multi-attribute assessment model of stairs shape for two-story individual dwelling houses

2015 ◽  
Author(s):  
Zenonas Turskis ◽  
Birutė Juodagalvienė
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Hybrid Model ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Multi Attribute Decision Making ◽  
Measurement Units ◽  
The Cost ◽  
Hierarchy Process

The article deals with a novel hybrid two-step group multi-attribute assessment model of stairs shape for two-story individual dwelling houses. There exist many available shapes of stairs for two-story dwelling houses. Selection among shapes and construction of stairs is a multi-attribute decision making problem in nature. It depends on a lot of different conflicting attributes, that have different optimisation direction, different measurement units. A determinated set of the main attributes to assess the alternatives includes the following: Stairwell Area, The Total Area of Climbing, “Climbing Lane" Area, The Cost of Stairs, and Ergonomics. The values of attributes and importance of attributes are determined by grey numbers. The paper presents a novel original hybrid model, which is based on two different multi-attribute decision making methods: ARAS-G (Additive Ratio Assessment) and AHP (Analytic Hierarchy Process).

scholarly journals PERBANDINGAN FUZZY AHP-SAW DENGAN FUZZY AHP-VIKOR UNTUK MENINGKATKAN DAYA SERAP POLITEKNIK TERHADAP INDUSTRI

2019 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Dani Anggoro ◽  
Nawindah Nawindah
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Office Management ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Peningkatan daya serap Politeknik terhadap industri sangat dipengaruhi oleh lulusannya salah satunya dipengaruhi oleh pemilihan jurusan yang merupakan awal untuk menciptakan mahasiswa yang ahli dibidangnya. Penentuan kriteria, subkriteria dan alternatif menggunakan Cochran Q Test. Untuk mendapatkan bobot digunakan metode Analytic Hierarchy Process (AHP). Kriteria yaitu jurusan sekolah asal, subkriteria yaitu IPA, IPS, AK, PJ/PM. Kriteria hasil tes bakat minat yaitu sanguinis, melankolis, korelis dan plegmatis. Alternatif diantaranya Computerized Accounting (CA), Office Management (OM), Informatics Computer (IC). Pada pemilihan jurusan ini peneliti membandingkan metode yang sesuaidengan Fuzzy Multi Attribute Decision Making metode Analytic HierarchyProcess (AHP)- Simple Additive Weighting (SAW) dan metode Analytic Hierarchy VIKOR (Visekriterijumsko Kompromisno Rangiranje). Daya serap terhadap industri menggunakan metode deskriptif dengan alat ukur service quality hasilnya industri puas terhadap lulusan yang berkerja pada industri baik dari hardskill dan softskill. Metode Fuzzy AHP-SAW urut peringkat 1,2 dan 3 yaitu alternatif IC dengan nilai V1 1.76144, alternatif CA dengan nilai V2=1.56974, alternatif V3 dengan nilai OM =1.33618 . Menggunakan metode Fuzzy AHP-VIKOR dengan urut peringkat 1 sampai 3 yaitu alternatif IC dengan nilai Q1=0, alternatif CA dengan nilai Q2=1, alternatif OM dengan nilai Q3=1. Kedua metode tersebut dapat digunakan untuk rekomendasi pemilihan jurusan untuk politeknik LP3I kampus Karang Tengah.

scholarly journals Creating a common priority vector in intuitionistic fuzzy AHP: a comparison of entropy-based and distance-based models

2021 ◽  
Author(s):  
Szabolcs Duleba ◽  
Ahmad Alkharabsheh ◽  
Fatma Kutlu Gündoğdu
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Fuzzy Ahp ◽  
Process Models ◽  
Analytic Hierarchy ◽  
Priority Vector ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Proposed Model ◽  
Decision Making Problem

AbstractIn the case of conflicting individuals or evaluator groups, finding the common preferences of the participants is a challenging task. This statement also refers to Intuitionistic Fuzzy Analytic Hierarchy Process models, in which uncertainty of the scoring of individuals is well-handled, however, the aggregation of the modified scores is generally conducted by the conventional way of multi-criteria decision-making. This paper offers two options for this aggregation: the relatively well-known entropy-based, and the lately emerged distance-based aggregations. The manuscript can be considered as a pioneer work by analyzing the nature of distance-based aggregation under a fuzzy environment. In the proposed model, three clearly separable conflicting groups are examined, and the objective is to find their common priority vector, which can be satisfactory to all participant clusters. We have tested the model results on a real-world case study, on a public transport development decision-making problem by conducting a large-scale survey involving three different stakeholder groups of transportation. The comparison of the different approaches has shown that both entropy-based and distance-based techniques can provide a feasible solution based on their high similarity in the final ordinal and cardinal outcomes.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals METHODS FOR PROBABILISTIC DECISION MAKING WITH LINGUISTIC INFORMATION

2014 ◽  
Vol 20 (2) ◽  
pp. 193-209 ◽  
Author(s):  
Guiwu Wei ◽  
Xiaofei Zhao
Keyword(s):  
Decision Making ◽  
Weighted Average ◽  
Aggregation Operators ◽  
Uncertain Information ◽  
Owa Operator ◽  
Linguistic Information ◽  
Probabilistic Information ◽  
Ordered Weighted Average ◽  
Linguistic Labels ◽  
Selection Of

With respect to decision making problems by using probabilities, immediate probabilities and information that can be represented with linguistic labels, some new decision analysis are proposed. Firstly, we shall develop three new aggregation operators: generalized probabilistic 2-tuple weighted average (GP-2TWA) operator, generalized probabilistic 2-tuple ordered weighted average (GP-2TOWA) operator and generalized immediate probabilistic 2-tuple ordered weighted average (GIP-2TOWA) operator. These operators use the weighted average (WA) operator, the ordered weighted average (OWA) operator, linguistic information, probabilistic information and immediate probabilistic information. They are quite useful because they can assess the uncertain information within the problem by using both linguistic labels and the probabilistic information that considers the attitudinal character of the decision maker. In these approaches, alternative appraisal values are calculated by the aggregation of 2-tuple linguistic information. Thus, the ranking of alternative or selection of the most desirable alternative(s) is obtained by the comparison of 2-tuple linguistic information. Finally, we give an illustrative example about selection of strategies to verify the developed approach and to demonstrate its feasibility and practicality.

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