A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange

Fuzzy Ahp ◽

Linguistic Variables ◽

Analytic Hierarchy ◽

Multi Attribute Decision Making ◽

Electronic Parts ◽

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.

Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽

10.3390/info10110351 ◽

2019 ◽

Vol 10 (11) ◽

pp. 351 ◽

Cited By ~ 3

Author(s):

Katerina Kabassi ◽

Alessia Amelio ◽

Vasileios Komianos ◽

Konstantinos Oikonomou

Keyword(s):

Decision Making ◽

Fuzzy Topsis ◽

Ideal Solution ◽

Analytic Hierarchy ◽

The Status ◽

The Analytic Hierarchy Process ◽

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

Аn example of different AHP structuring in a forest management problem

Zbornik Matice srpske za prirodne nauke ◽

10.2298/zmspn1630127l ◽

2016 ◽

pp. 127-137

Author(s):

Milena Lakicevic ◽

Bojan Srdjevic ◽

Ivaylo Velichkov ◽

Zorica Srdjevic

Keyword(s):

Decision Making ◽

Forest Management ◽

Evaluation Procedure ◽

Decision Making Process ◽

Management Problem ◽

Consistency Check ◽

Analytic Hierarchy ◽

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.

Some Conflicting Results in the Analytic Hierarchy Process

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622018500517 ◽

2019 ◽

Vol 18 (02) ◽

pp. 465-486 ◽

Cited By ~ 5

Author(s):

Ardalan Bafahm ◽

Minghe Sun

Keyword(s):

Decision Making ◽

Decision Makers ◽

Unexpected Result ◽

Analytic Hierarchy ◽

Preference Relations ◽

The Analytic Hierarchy Process ◽

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Analytic Hierarchy Process as a decision-making tool for Systematic Layout Planning, involving social responsibility criteria: a case study

International Journal of Industrial and Systems Engineering ◽

10.1504/ijise.2020.10038574 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Elpídio Nara ◽

Jorge Moraes ◽

Andre Luis Korzenowsk ◽

Lucas Schmidt Goecks ◽

Taciana Mareth

Keyword(s):

Decision Making ◽

Social Responsibility ◽

Analytic Hierarchy ◽

Layout Planning ◽

Systematic Layout Planning ◽

Hierarchy Process ◽

Decision Making Tool

Use of Analytic Hierarchy Process for Wind Farm Installation Region Prioritization–Case Study

Energies ◽

10.3390/en13092284 ◽

2020 ◽

Vol 13 (9) ◽

pp. 2284 ◽

Cited By ~ 1

Author(s):

Rômulo Lemos Bulhões ◽

Eudemário Souza de Santana ◽

Alex Álisson Bandeira Santos

Keyword(s):

Decision Making ◽

Wind Farm ◽

Greenhouse Gas Emission ◽

Wind Farms ◽

Clean Energy ◽

Poor Quality ◽

Analytic Hierarchy ◽

Electricity generation via renewable sources is emerging as a possible solution to meet the growing demand for electricity worldwide. Additionally, the need to produce clean energy, with little or no pollutants or greenhouse gas emission is paramount. Due to these factors, wind farms are noticeably increasing in number, especially in Brazil. However, the vast size of the country and the poor quality of its infrastructure are among several factors that make it difficult for effective decision-making to accelerate the growth of this segment in Brazil. With the purpose of assisting government agencies, regulatory agencies and other institutions in this area, the use of a multi-criteria selection method called the analytic hierarchy process is proposed here to assist in decision-making and to select priority regions for implementing wind farms. This work focuses on a case study of the state of Bahia, in which 27 territories were selected for an installation priority evaluation. Computational tools were used to hierarchize these chosen territories, including Matlab, for the construction of the computational algorithm. The results indicate the priority pf the regions according to the established criteria, which allows installation locations to be mapped—these could serve as a basis for regional investment.

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

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

10.1007/978-3-642-14616-9_16 ◽

2010 ◽

pp. 171-179

Author(s):

Yu-Cheng Tang ◽

Ching-Ter Chang

Keyword(s):

Decision Making ◽

Goal Programming ◽

Capital Budgeting ◽

Financial Information ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Fuzzy Analytic Hierarchy Process-Based Multi-Criteria Decision Making for Universities Ranking

Symmetry ◽

10.3390/sym12081351 ◽

2020 ◽

Vol 12 (8) ◽

pp. 1351

Author(s):

Rashad Aliyev ◽

Hasan Temizkan ◽

Rafig Aliyev

Keyword(s):

Decision Making ◽

Performance Indicator ◽

Real Life ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Life Problems ◽

Types Of Information ◽

High competition between universities has been increasing over the years, and stimulates higher education institutions to attain higher positions in the ranking list. Ranking is an important performance indicator of university status evaluation, and therefore plays an essential role in students’ university selection. The ranking of universities has been carried out using different techniques. Main goal of decision processes in real-life problems is to deal with the symmetry or asymmetry of different types of information. We consider that multi-criteria decision making (MCDM) is well applicable to symmetric information modelling. Analytic hierarchy process (AHP) is a well-known technique of MCDM discipline, and is based on pairwise comparisons of criteria/alternatives for alternatives’ evaluation. Unfortunately, the classical AHP method is unable to deal with imprecise, vague, and subjective information used for the decision making process in complex problems. So, introducing a more advanced tool for decision making under such circumstances is inevitable. In this paper, fuzzy analytic hierarchy process (FAHP) is applied for the comparison and ranking of performances of five UK universities, according to four criteria. The criteria used for the evaluation of universities’ performances are teaching, research, citations, and international outlook. It is proven that applying FAHP approach makes the system consistent, and by the calculation of coefficient of variation for all alternatives, it becomes possible to rank them in prioritized order.

A GIS-based fuzzy-analytic hierarchy process (F-AHP) for ecotourism suitability decision making: A case study of Babol in Iran

Tourism Management Perspectives ◽

10.1016/j.tmp.2020.100726 ◽

2020 ◽

Vol 36 ◽

pp. 100726 ◽

Cited By ~ 1

Author(s):

Hasan Zabihi ◽

Mohsen Alizadeh ◽

Isabelle D. Wolf ◽

Mohammadreza Karami ◽

Anuar Ahmad ◽

...

Keyword(s):

Decision Making ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

A Novel Approach for Ontological Representation of Analytic Hierarchy Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.988.675 ◽

2014 ◽

Vol 988 ◽

pp. 675-682 ◽

Cited By ~ 7

Author(s):

Yong Xin Liao ◽

Eduardo Rocha Loures ◽

Osíris Canciglieri ◽

Hervé Panetto

Keyword(s):

Decision Making ◽

Assessment Tool ◽

Assessment Methods ◽

Ahp Method ◽

Analytic Hierarchy ◽

Novel Approach ◽

Priority Assessment ◽

The Analytic Hierarchy Process (AHP) is one of the widely accepted and frequently used priority assessment methods. A number of studies, which employed the AHP method, have already been carried out in different domains to support their multi-criteria decision-making definitions and applications. However, few researchers have paid attentions to extract and represent the important concepts and their relationships from the AHP method itself. The aim of this study is firstly to propose a way for representing the AHP method as an AHP Ontology together with a set of reasoning rules. Then, a prototype assessment tool is developed to show the possibility of obtaining more flexibility and reusability of this ontological representation.