The Influence of Defuzzification Methods to Decision Support Systems Based on Fuzzy AHP with Scattered Comparison Matrix: Application to 3PLP Selection as a Case Study

Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec

The Analytic Hierarchy Process (AHP) is, in literature, the most frequently used selection method generally in association with fuzzy logic. In this article some incongruities in the use of fuzzy AHP detected in the literature are presented such as improper use of the defuzzification methods and weak consistency checks of the comparison matrix that in case of scattered comparison matrix could produces results that are clearly a contradiction. We demonstrate how even a careful definition of the third party logistics providers (3PLP) selection criteria may lead to improper results, if the appropriate methods of defuzzification are not used and the concept of “vague” is not well interpreted, both in the comparison phase and in the calculation phase.

Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo

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.


2012 ◽  
Vol 518-523 ◽  
pp. 4466-4472 ◽  
Author(s):  
Hao Zhang ◽  
Wei Xia Li ◽  
Cheng Yi Zhang

In this paper, the definition of additive consistent intuitionistic fuzzy complementary judgement matrix (ACIFCJM) was given; The addition and subtraction algorithms of intuitionistic fuzzy value representing the relative importance degree in the matrix were given, then the definition of the scale transition matrix of intuitionistic fuzzy complementary judgement matrix (IFCJM) was given; The additive consistency recursive iterative adjustment algorithm about the IFCJM was given, then priority vectors formula of IFCJM was introduced; At last, the steps of intuitionistic fuzzy analytic hierarchy process (IFAHP) were introduced, then the method was applied in actual examples, and its effectiveness was verified.


2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Funda Samanlioglu

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.


FLORESTA ◽  
2014 ◽  
Vol 44 (3) ◽  
pp. 535
Author(s):  
Damáris Gonçalves Padilha ◽  
Mario Luiz Trevisan ◽  
Jussara Cabral Cruz

Modelos de fragilidades ambientais compreendem, de maneira geral, a avaliação de n aspectos (ou fatores) relativos às características locais, usualmente tratadas por técnicos de diferentes áreas constituintes de uma equipe multidisciplinar. Porém a definição dos n aspectos por parte da equipe nem sempre acontece de forma unânime, não raro ocorrendo, no início do processo de avaliação, dúvidas sobre o quanto realmente cada aspecto ou fator (indicador) apresenta-se significativo dentro do modelo de avaliação. Como estudo de caso, foi realizada a sensibilidade das ponderações dos fatores que compõem o método multicriterial AHP (Analytic Hierarchy Process), aplicado na região da bacia hidrográfica do Alto Uruguai. A metodologia consistiu na ponderação sistemática de cada fator constituinte do modelo para posterior consideração quanto a sua influência em relação ao conjunto dos fatores, proporcionando uma avaliação quanto a sua eficácia na identificação de pesos dos fatores em cenários que mostram maior discriminância no conjunto, além de apresentar alternativas na composição dos pesos. Assim, a partir dos resultados da análise, configura-se a importância da realização do estudo da sensibilidade em modelos de fragilidade ambiental aplicados à bacia hidrográfica.Palavras-chave: Análise de sensibilidade; avaliação ambiental; multicritério. AbstractSensitiveness of model to environmental fragilities to multicriterial weighting: physical aspects of watershed of the Alto Uruguay. Environmental fragilities models comprise, generally, the evaluation of n criteria (or factors) on local characteristics, usually handled by technicians from different areas in a multidisciplinary team. However, definition of n aspects by team does not always happen unanimously, often occurring early in the evaluation process doubts whether every aspect or indicator is in fact significant within the evaluation model. As a case study, it was performed the sensitivity of weighting factors that comprising the multicriterial method AHP (Analytic Hierarchy Process) applied to the basin of the Alto Uruguay region. After evaluating the multicriterial method, we applied the sensitiveness analysis to improve the weighting process. Therefore, from the results of this analysis, it sets up the importance of the study of sensitiveness of environmental fragility models for the watershed better understanding.Keywords: Sensitiveness analysis; environmental assessment; multicriterial weighting.


Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.


2021 ◽  
pp. 016555152110413
Author(s):  
Ebru Yilmaz İnce ◽  
Murat İnce

The use of personalised learning environments (PLEs) and adaptive learning environments (ALEs) in education has increased during the COVID-2019 pandemic. Thus, the need of effective and high-quality PLEs and ALEs has emerged but developing such learning environments has some difficulties such as the need for a huge number of qualified e-contents. Generation of e-contents for these systems is a time-consuming and costly process. Moreover, presenting the same e-content for each student is not effective because each student can have different intelligence type. To overcome these problems, low cost, reusable and dynamic e-contents can be used for PLE and ALE systems. For this purpose, fuzzy analytic hierarchy process (FAHP) was used to provide sequenced e-contents for PLE and ALE systems. This proposed system was used in a case study to investigate its impact on learning process. The performance of the proposed study was compared with analytical hierarchy process (AHP), which is another multi-criteria decision-making (MCDM) method, also further statistical analyses were investigated. The results showed that 84.6% of students showed interest in the proposed system, so the FAHP method can be used for presenting personalised e-content effectively.


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