scholarly journals An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 328 ◽  
Author(s):  
Azzah Awang ◽  
Nur Aizam ◽  
Lazim Abdullah
Keyword(s):  
Decision Making ◽  
Coastal Erosion ◽  
Real Life ◽  
Analytic Network Process ◽  
Peninsular Malaysia ◽  
Coastal Development ◽  
Weighted Averaging ◽  
Life Problems ◽  
Network Process ◽  
Integrated Decision Making

The recent boom of various integrated decision-making methods has attracted many researchers to the field. The recent integrated Analytic Network Process and Decision Making Trial and Evaluation Laboratory (ANP–DEMATEL) methods were developed based on crisp numbers and fuzzy numbers. However, these numbers are incapable of dealing with the indeterminant and inconsistent information that exists in real-life problems. This paper proposes improvements to the integrated ANP–DEMATEL method by bringing together the neutrosophic numbers, the ANP method, and the DEMATEL method, which are later abbreviated to NS-DANP. The proposed NS-DANP method can handle the indeterminacy elements in the decision-making environment, as the single-valued neutrosophic numbers are used in the decision analysis. This proposed NS-DANP modification method includes linguistic variables representing the single-valued neutrosophic numbers (SVNNs), and also introduces the single-valued neutrosophic weighted averaging (SVNWA) aggregation operator to aggregate the decision makers’ judgments instead of the typical averaging method. The applicability of the proposed method is illustrated by a case study of the coastal erosion problem along the Peninsular Malaysia coastline, where 12 factors were considered. Three experts of coastal erosion from different organizations were invited to elicit their linguistic judgments on the cause–effect of the coastal erosion. The seven-step decision approach was developed to acquire the weightage of each coastal erosion factor. The outcome of this study reveals that coastal development is the riskiest factor toward coastal erosion. The weight of factors and the cause–effect diagram could be very helpful for government and stakeholders to project a better mitigation plan for the coastal erosion problem. Comparative analysis is also provided to check the feasibility of the proposed method.

An Integrated Methodology for the Emergency Logistics Centers Location Selection Problem and its Application for the Turkey Case

2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Umut Rifat Tuzkaya ◽  
Kadriye Busra Yilmazer ◽  
Gulfem Tuzkaya
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Analytic Network Process ◽  
Weight Changes ◽  
Location Selection ◽  
Expert Opinions ◽  
Integrated Methodology ◽  
Emergency Logistics ◽  
Network Process ◽  
Selection Methodology

AbstractUrgent response is vitally important after unpredictable disasters and it is highly dependent to the location of the emergency centers. Considering this importance degree, in this study, a location selection methodology for emergency logistics centers (ELCs) is proposed. There are various influencing factors or criteria to choose the most convenient locations for ELCs. However, we focused on some of the most important and prior criteria to obtain a more feasible approach and less calculation intensity. The main point is ranking and weighting the convenient locations or cities for constructing an ELC in a region or country. The alternative locations are chosen through the mostly natural disaster-prone cities. Decision criteria are determined according to the expert opinions. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods are integrated to determine the convenient locations considering the relations between criteria and alternative locations. Afterwards, a real life application of the proposed methodology is realized for the Turkey case. Finally, results are examined and analyzed in terms of their sensitivity on the criteria weight changes.

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

scholarly journals Integration of AHP and GTMA to Make a Reliable Decision in Complex Decision-Making Problems: Application of the Logistics Provider Selection Problem as a Case Study

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 766
Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Third Party ◽  
Selection Problem ◽  
New Method ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Network Process ◽  
Complex Decision Making ◽  
Complex Decision

When solving a Multi-Criteria Decision-Making problem of any degree of complexity, many researchers rely on the analytic hierarchy process (AHP). To consider mutual connections between criteria and clusters at the same level and not only the hierarchical structure between criteria and subcriteria, researchers often upgrade from AHP to the Analytic Network Process (ANP), which also examines the interdependency of criteria. However, the ANP method requires a large number of pairwise comparisons. In the case of a complex decision-making problem, the authors of this paper suggest upgrading the AHP method with the graph theory and matrix approach (GTMA) for several reasons: (1) The new method is based on digraphs and permanent value computation, which does not require a hypothesis about interdependency; (2) in case of similar alternatives, the distinguishable coefficient of the new method is higher than those computed for AHP and ANP; (3) the new method allows decision makers to rank comparable alternatives and to combine structurally similar methods without increasing the number of comparisons and the understanding of the results. The developed method (AH-GTMA) is validated by a numerical example of a complex decision-making problem based on a symmetrical set of similar alternatives, a third party logistic provider (3PLP) selection problem.

Introduction and Historical Background

2019 ◽  
pp. 1-26
Keyword(s):  
Decision Making ◽  
Historical Development ◽  
Real Life ◽  
Literature Survey ◽  
Historical Background ◽  
Simultaneous Occurrence ◽  
Special Interests ◽  
Life Problems ◽  
Complex Decision Making ◽  
Complex Decision

This chapter describes the evolution of different multi-objective decision-making (MODM) models with their historical backgrounds. Starting from MODM models in deterministic environments along with various solution techniques, the chapter presents how different kinds of uncertainties may be associated with such decision-making models. Among several types of uncertainties, it has been found that probabilistic and possibilistic uncertainties are of special interests. A brief literature survey on different existing methods to solve those types of uncertainties, independently, is discussed and focuses on the need of considering simultaneous occurrence of those types of uncertainties in MODM contexts. Finally, a bibliographic survey on several approaches for MODM under hybrid fuzzy environments has been presented. Through this chapter the readers can be able to get some concepts about the historical development of MODM models in hybrid fuzzy environments and their importance in solving various real-life problems in the current complex decision-making arena.

scholarly journals Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

2020 ◽  
Vol 12 (15) ◽  
pp. 5991 ◽  
Author(s):  
Juin-Hao Ho ◽  
Gwo-Guang Lee ◽  
Ming-Tsang Lu
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
User Behavior ◽  
Real Life ◽  
Implementation Process ◽  
Multicriteria Decision Making ◽  
Life Issues ◽  
Network Process ◽  
Set Up ◽  
Decision Making Model

This study explores the implementation of legal artificial intelligence (AI) robot issues for sustainable development related to legal advisory institutions. While a legal advisory AI Bot using the unique arithmetic method of AI offers rules of convenient legal definitions, it has not been established whether users are ready to use one at legal advisory institutions. This study applies the MCDM (multicriteria decision-making) model DEMATEL (decision-making trial and evaluation laboratory)-based Analytical Network Process (ANP) with a modified VIKOR, to explore user behavior on the implementation of a legal AI bot. We first apply DEMATEL-based ANP, called influence weightings of DANP (DEMATEL-based ANP), to set up the complex adoption strategies via systematics and then to employ an M-VIKOR method to determine how to reduce any performance gaps between the ideal values and the existing situation. Lastly, we conduct an empirical case to show the efficacy and usefulness of this recommended integrated MCDM model. The findings are useful for identifying the priorities to be considered in the implementation of a legal AI bot and the issues related to enhancing its implementation process. Moreover, this research offers an understanding of users’ behaviors and their actual needs regarding a legal AI bot at legal advisory institutions. This research obtains the following results: (1) It effectively assembles a decision network of technical improvements and applications of a legal AI bot at legal advisory institutions and explains the feedbacks and interdependences of aspects/factors in real-life issues. (2) It describes how to vary effective results from the current alternative performances and situations into ideal values in order to fit the existing environments at legal advisory institutions with legal AI bot implementation.

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