scholarly journals Avaliação da qualidade dos serviços por meio do fuzzy multiple criteria decision making (MCDM)

Exacta ◽  
2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Nara Medianeira Stefano ◽  
Nelson Casarotto Filho ◽  
Raul Otto Laux ◽  
Sidnei Gripa
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Santa Catarina ◽  
Analytic Hierarchy ◽  
Hierarchy Process

 A qualidade dos serviços é uma construção abstrata e indescritível devido a três características: intangibilidade, inseparabilidade de produção e consumo e, heterogeneidade. Dessa forma, define-se a qualidade dos serviços como aquela percebida pelo cliente. Neste contexto, este trabalho teve o objetivo de avaliar a qualidade dos serviços em um hotel de grande porte localizado em Santa Catarina – Brasil, contando com a participação de 187 hóspedes. Utilizou-se o método Servqual para coletar os dados em um questionário baseado nas dimensões da qualidade. Para o cálculo dos pesos da expectativa e da percepção foi utilizado o método Fuzzy AHP (Analytic Hierarchy Process - FAHP). Como resultado, são apresentados os aspectos onde a expectativa dos hóspedes em relação ao serviço prestado é maior do que a realidade encontrada, permitindo, dessa forma, que a empresa alinhe de forma estratégica seus futuros investimentos.  

scholarly journals Cognitive Multiple Criteria Decision Making and the Legacy of the Analytic Hierarchy Process

2019 ◽  
Vol 36 (1) ◽  
pp. 67 ◽  
Author(s):  
José María Moreno-Jiménez ◽  
Luis G. Vargas
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Analytic Hierarchy ◽  
Sociedad Del Conocimiento ◽  
Toma De Decisiones ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Este trabajo recoge brevemente el concepto, la evolución histórica y las diferentes escuelas de una de las partes de la Investigación Operativa más fructífera y con mayor difusión de los últimos 45 años: la Decisión Multicriterio. Así mismo, analiza la evolución que el método científico ha seguido en este periodo de tiempo y cuáles son las nuevas orientaciones que presenta en el contexto de la Sociedad del Conocimiento. Finalmente, se incluyen una serie de ideas sobre cuáles pueden ser algunos de los retos futuros en el campo de la toma de decisiones multicriterio (TDMC), en particular en el contexto de una de las aproximaciones más populares: el Proceso Analítico Jerárquico (AHP). Tres problemas fundamentales, ya vislumbrados para esta escuela de pensamiento por su creador, necesitan ser abordados como futuros retos en el campo multicriterio. Este trabajo se ha dedicado a la memoria del profesor Thomas L. Saaty, el autor de AHP y uno de los matemáticos más brillantes e ingeniosos de los últimos 60 años, quien acaba de fallecer en agosto de 2017 a los 91 años de edad.

Use of the Analytic Hierarchy Process for Selecting Automated Manufacturing Systems

1993 ◽  
Vol 13 (8) ◽  
pp. 45-57 ◽  
Author(s):  
R.P. Mohanty ◽  
Sitalakshmi Venkataraman
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Manufacturing Systems ◽  
Multiple Criteria Decision Making ◽  
Social Impacts ◽  
Multiple Criteria ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Studies the justification problems of automated manufacturing systems (AMS) by using a multiple‐criteria decision making (MCDM) approach such as analytic hierarchy process (AHP). An example from Indian manufacturing has been studied. Strategic, technological and social impacts have been considered for justifying AMS and decomposing these factors into several possible attributes.

scholarly journals Application of a New Hybrid Fuzzy AHP Model to the Location Choice

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Chien-Chang Chou ◽  
Ker-Wei Yu
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Location Choice ◽  
Fuzzy Ahp ◽  
Multiple Criteria ◽  
Distribution Centers ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
International Distribution ◽  
Hierarchy Process

The purpose of this paper is to propose a new hybrid fuzzy Analytic Hierarchy Process (AHP) algorithm to deal with the decision-making problems in an uncertain and multiple-criteria environment. In this study, the proposed hybrid fuzzy AHP model is applied to the location choices of international distribution centers in international ports from the view of multiple-nation corporations. The results show that the proposed new hybrid fuzzy AHP model is an appropriate tool to solve the decision-making problems in an uncertain and multiple-criteria environment.

scholarly journals Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process

2017 ◽  
Vol 20 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Lanndon A. Ocampo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Priority List ◽  
Hierarchy Process

This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

scholarly journals Analytic Hierarchy Process in Multiple–Criteria Decision–Making: A Model Example

2021 ◽  
Vol 90 ◽  
pp. 01019
Author(s):  
Anna Siekelova ◽  
Ivana Podhorska ◽  
Jorma J. Imppola
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Financial Indicators ◽  
Analytic Hierarchy ◽  
Business Partners ◽  
Decision Making Problem ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Managers have to make decisions several times a day. The decision-making process can be defined as an essential activity realized by managers every day. Decisions can be implemented intuitively, or by using relevant decision-making methods. This depends on the nature of the decision, as well as the intensity of its possible future effects. The theory of decision-making can be defined as a relatively young discipline. It can be stated that decision-making is no longer an intuitive process. Most decision-making situations are of a multiple criteria character. In this contribution, the authors focus on multiple-criteria decision-making, to which several methods can be applied. In the practical part, the authors use Saaty's method, also known as the Analytic Hierarchy Process. Saaty is considered to be the most important researcher dealing with the issue of multiple-criteria decision-making. The set multiple-criteria decision-making problem was to choose one business partner out of eight under consideration. The decision-making criteria included selected financial indicators and non-financial criteria. The aim of the contribution is to use the Analytic Hierarchy Process to assess potential business partners and to select an optimal candidate.

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.

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.

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