scholarly journals Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependency

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-31 ◽  
Author(s):  
Junling Zhang ◽  
Xiaowen Qi ◽  
Changyong Liang
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Illustrative Case ◽  
Infrastructure Projects ◽  
Weighting Vector ◽  
Key Issues ◽  
Maximizing Deviation Method ◽  
Group Ideal ◽  
Illustrative Case Study ◽  
Multiple Attributes Decision Making

Continuous environmental concerns regarding construction industry have been driving general constructors of mega infrastructure projects to incorporate green contractors. Although conventional multiple attributes decision-making (MADM) methodologies have provided feasible ways to select contractor, high complexity in scenarios of megaprojects still challenges existing MADM methods in concurrently accommodating three key issues of decision hesitancy, attributes interdependency, and group attitudinal character. To elicit decision-makers’ hesitant fuzzy assessments more objectively and comprehensively, we define an expression tool called interval-valued dual hesitant fuzzy uncertain unbalanced linguistic set (IVDHF_UUBLS) and develop aggregation operators through its operations. To exploit attributes interdependency, we establish a synthesized attributes’ weighting model to fuse an attributes interdependency-based weighting vector and an argument-dependent weighting vector, which are, respectively, derived through Decision-Making and Trial Evaluation Laboratory (DEMATEL) technique and maximizing deviation method. To effectively utilize decision-makers’ group attitudinal characters, we also develop a TOPSIS-based method to rationally transform group ideal attitudes into order-inducing vectors. On the strength of the above methods, an integrated MADM approach is then constructed. Finally, illustrative case study and experiments are conducted to validate our approach.

scholarly journals Club Diplomacy in the Arctic

2019 ◽  
Vol 25 (2) ◽  
pp. 304-326
Author(s):  
Danita Catherine Burke
Keyword(s):  
Decision Making ◽  
International Politics ◽  
The Arctic ◽  
Illustrative Case ◽  
Arctic Council ◽  
Club Membership ◽  
Decision Making Processes ◽  
The Subject ◽  
Illustrative Case Study

Abstract The Arctic Council is frequently called a unique forum but, as this article argues, clubs are common in international politics and in many respects the Arctic Council is a club. This article explores the questions: Why are the Arctic states acting like a club in Arctic politics, and how do internal hierarchies influence how clubs make decisions? As the article illustrates, clubs are the stage for club diplomacy and, in club diplomacy, hierarchies play an important role. Using the Arctic Council as an illustrative case study, this article argues that clubs have internal hierarchies that inform their decision-making processes and their responses to challenges to their status. When clubs try to deal with subjects that extend beyond the boundaries of the sovereignty of club members and the parameters of club membership, club members may suffer from a lack of status and legitimacy to unilaterally deal with the subject.

Reducing the Risk of Wrong Choice in Group Decision Making by Optimal Weight Allocating to Decision Makers

2018 ◽  
Vol 7 (2) ◽  
pp. 1-23 ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Potential Risk ◽  
Group Decision ◽  
Decision Makers ◽  
Topsis Method ◽  
Numerical Examples ◽  
Multiple Attribute ◽  
Key Issues ◽  
The Ideal

How to determine a weight for decision makers (DMs) is one of the key issues in Multiple Attribute Group Decision Making (MAGDM). While, some experts (or DMs) clearly wiser and more powerful in such matters than others, it has often seen that experts play their roles with same weights of importance. Meanwhile, it will lead to the wrong choice (or decision risk) and loss of values. Since, in the absence of any other standards about how to reduce this potential risk for bias, in this article, based on judgment matrices and error analysis, the author presents two new algorithm taken from crisp (the correlation-based approach) and interval (the ideal-based approach) TOPSIS method, respectively. Finally, two numerical examples are given to demonstrate the feasibility of the developed method.

Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application

2017 ◽  
Vol 25 (05) ◽  
pp. 759-786 ◽  
Author(s):  
Fanyong Meng ◽  
Yige Yuan ◽  
Xiaohong Chen
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Decision Makers ◽  
Distance Measures ◽  
Linguistic Variables ◽  
Weighting Vector ◽  
Interval Distance ◽  
Multi Attribute Decision Making ◽  
Optimal Weighting ◽  
Interval Valued

Interval-valued linguistic variables are efficient tools to express the decision makers’ uncertain qualitative judgments. Considering the application of interval-valued linguistic variables, this paper proposes an interval distance measure, which is then used to define interval-valued linguistic interval distance measures by combining the 2-tuple linguistic representation model. To reflect the interactions between elements in a set, three correlative interval distance measures on intervalvalued linguistic variables are proposed. Meanwhile, several models designed to obtain the optimal weighting vector are constructed. After that, an approach to pattern recognition and to multi-attribute decision making with interval-valued linguistic information is developed. Meanwhile, associated examples are offered to demonstrate the concrete application of the proposed procedure.

PARAMETERIZED 2-TUPLE LINGUISTIC MOST PREFERRED OWA OPERATORS AND THEIR APPLICATION IN DECISION MAKING

2013 ◽  
Vol 21 (06) ◽  
pp. 799-819 ◽  
Author(s):  
XIUZHI SANG ◽  
XINWANG LIU
Keyword(s):  
Decision Making ◽  
Recommender System ◽  
Preference Assessment ◽  
Decision Makers ◽  
Owa Operator ◽  
Maximum Frequency ◽  
Preference Information ◽  
Preference Relations ◽  
Owa Operators ◽  
Weighting Vector

The most preferred OWA (MP-OWA) operator is a new method to aggregate preference information with crisp numbers, whose weights are related with the frequency of the most preferred assessment to each criteria. However, people are usually not able to estimate their preference degrees with crisp number, since they have a vague knowledge about the preference assessment. In this paper, we propose a 2-tuple linguistic MP-OWA (LMP-OWA) operator. It is useful because it can be used to make decision with linguistic preference relations, and the weighting vector is not only connected to the maximum frequency of the assessment to the criteria, but also to the assessment values. Meanwhile, we introduce the parameterized 2-tuple LMP-OWA operator and the parameterized 2-tuple LMP-OWA operator with power function, which provide multiple aggregation results for decision makers to select. The paper ends up with an example of decision making with linguistic preference relations in movie recommender system.

scholarly journals Opening out and closing down: the treatment of uncertainty in transport planning’s forecasting paradigm

2019 ◽  
Author(s):  
Glenn Lyons ◽  
Greg Marsden
Keyword(s):  
Decision Making ◽  
Climate Adaptation ◽  
Illustrative Case ◽  
Sensitivity Testing ◽  
The Future ◽  
The 1960S ◽  
Illustrative Case Study ◽  
Adaptation Scenarios

AbstractSince the 1960s, development of the transport system has been framed by the notion of forecasting future demand. Yet the past decade or more appears to signal some significant changes to the role of travel in society which are having a material impact on how much people travel (and may travel in the future). Coupled with the potential for major technological changes and a range of climate adaptation scenarios, the future of mobility presents today’s decision making on transport strategy and investment with a broader set of uncertainties than has previously been considered. This paper examines current mainstream practice for incorporating uncertainty into decision-making, through an illustrative case study of the highly codified approaches of the Department for Transport in England. It deconstructs the issue by first focussing on different ways in which there is an opening out or acceptance of new uncertainties and how this creates a (wider) set of potential futures. It then turns to consider how this set of futures is used, or not, in decision-making, i.e. the process of closing down uncertainty to arrive at or at least inform a decision. We demonstrate that, because the range of uncertainties has broadened in scope and scale, the traditional technocratic approach of closing down decisions through sensitivity testing is at odds with the greater breadth now being called for at the opening out stage. We conclude that transport decision-making would benefit from a rebalancing of technical depth with analytical breadth. The paper outlines a plausible new approach to opening out and closing down that is starting to be applied in practice. This approach must be accompanied by an opening up of the processes by which technical advice for decisions are reached and how uncertainties are understood and negotiated.

scholarly journals Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1672 ◽  
Author(s):  
Alptekin Ulutaş ◽  
Darjan Karabasevic ◽  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Phong Thanh Nguyen ◽  
...  
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Integrated Approach ◽  
Optimal Choice ◽  
Illustrative Case ◽  
Logistics System ◽  
Illustrative Case Study ◽  
Logistics Activity ◽  
Selection Of

The main goal of this paper is to propose a Multiple-Criteria Decision-Making (MCDM) approach that will facilitate decision-making in the field of logistics—i.e., in the selection of the optimal equipment for performing a logistics activity. For defining the objective weights of the criteria, the correlation coefficient and the standard deviation (CCSD method) are applied. Furthermore, for determining the semi-objective weights of the considered criteria, the indifference threshold-based attribute ratio analysis method (ITARA) is used. In this way, by combining these two methods, the weights of the criteria are determined with a higher degree of reliability. For the final ranking of the alternatives, the measurement of alternatives and ranking according to the compromise solution method (MARCOS) is utilized. For demonstrating the applicability of the proposed approach, an illustrative case study pointing to the selection of the best manual stacker for a small warehouse is performed. The final results are compared with the ones obtained using the other proved MCDM methods that confirmed the reliability and stability of the proposed approach. The proposed integrated approach shows itself as a suitable technique for applying in the process of logistics equipment selection, because it defines the most influential criteria and the optimal choice with regard to all of them in a relatively easy and comprehensive way. Additionally, conceiving the determination of the criteria with the combination of objective and semi-objective methods enables defining the objective weights concerning the attitudes of the involved decision-makers, which finally leads to more reliable results.

scholarly journals THE PRELIMINARY ASSESSMENT OF ADAPTATION POTENTIAL IN EXISTING OFFICE BUILDINGS

2014 ◽  
Vol 18 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Sara Wilkinson
Keyword(s):  
Decision Making ◽  
Principal Component ◽  
Optimal Decision ◽  
Illustrative Case ◽  
Preliminary Assessment ◽  
Building Adaptation ◽  
Optimal Decision Making ◽  
Illustrative Case Study ◽  
Further Development

It is said that the battle for sustainability will be won or lost in the world's cities and a major tactic in this challenge will be the sustainable adaptation of existing buildings. Evidence based decision-making tools are required for the management of built assets. This research examined every building adaptation event between 1998 and 2008 with the relative importance of property attributes derived using a principal component analysis (PCA), from which a weighted index of optimal decision- making attributes in a predictive model was proposed; the Preliminary Assessment Adaptation Model (PAAM). The model is discussed and applied in an illustrative case study. Given further development and testing the PAAM might be useable by non-experts and property managers to appraise the suitability of a building for potential adaptation.

scholarly journals Research on the Framework of Intelligent Command Decision System for Flood Control

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Yao Zhang
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Flood Control ◽  
Intelligent System ◽  
Decision Makers ◽  
Intelligent Decision Making ◽  
Related Information ◽  
Control Command ◽  
Decision Making System ◽  
Key Issues

Starting from the process of flood control and flood control decision-making, the shortcomings of the traditional flood control and flood control command and decision-making system are analyzed, and an intelligent decision-making system for flood control and flood control is proposed. The structure and functions of the system framework are elaborated in detail, and the key issues in the process of building intelligent systems are pointed out. Based on the real-time information monitoring system, this intelligent system can predict the next phase of hydrometeorology, flood and other related information, help decision makers to identify risks, and optimize the best flood control dispatching plan for decision makers to choose.

POWER GEOMETRIC OPERATORS FOR GROUP DECISION MAKING UNDER MULTIPLICATIVE LINGUISTIC PREFERENCE RELATIONS

2012 ◽  
Vol 20 (01) ◽  
pp. 139-159 ◽  
Author(s):  
YEJUN XU ◽  
HUIMIN WANG
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Operator Method ◽  
Decision Makers ◽  
Decision Making Process ◽  
Preference Relations ◽  
Geometric Average ◽  
Multiple Attribute ◽  
Weighting Vector

The aim of this paper is to develop some new linguistic aggregation operators, such as linguistic power geometric (LPG) operator, linguistic weighted PG operator, LPOWG operator which are based on PG operator. We have studied some desired properties of the developed operators, such as commutativity, idempotency, boundary, etc. Moreover, we have developed two approaches to deal with group decision making problems under multiplicative linguistic preference relations. If the weighting vector of the decision makers is known, we develop an approach which is based on the linguistic weighted PG operator. On the other hand, if the weighting vector of the decision makers is unknown, we develop another approach which is based on the LPOWG. Finally, a practical example is given to illustrate the multiple attribute group decision making process; a comparative study to the linguistic weighted geometric average (LWGA) operator method is also demonstrated.

Complex hesitant fuzzy sets and its applications in multiple attributes decision-making problems

2021 ◽  
pp. 1-29
Author(s):  
Mohammad Talafha ◽  
Abd Ulazeez Alkouri ◽  
Sahar Alqaraleh ◽  
Hamzeh Zureigat ◽  
Anas Aljarrah
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Aggregation Operators ◽  
Decision Makers ◽  
Hesitant Fuzzy Set ◽  
Fuzzy Information ◽  
Multiple Attributes ◽  
The Right ◽  
Multiple Attributes Decision Making ◽  
The Mathematical Model

Decision-makers (DMs) usually face many obstacles to give the right decision, multiplicity of them highlights a problem to represent a set of potential values to assign a collective membership degree of an object to a set for several DM’s opinions. However, a hesitant fuzzy set (HFS) deals with such problems. The complexity appears in DM’s opinion which can be changed for the same object but with different times/phases. Each of them has a set of potential values in different times/phases of an object. In this paper, the periodicity of hesitant fuzzy information is studied and applied by extending the range of HFS from [0, 1] to the unit disk in the complex plane to provide more ability for illustrating the full meaning of information to overcome the obstacles in decision making in the mathematical model. Moreover, the advantage of CHFS is that the amplitude and phase terms of CHFSs can represent hesitant fuzzy information, some basic operations on CHFS are also presented and we study its properties, in addition, several aggregation operators under CHFS are introduced, also, the relation between CHFS and complex intuitionistic fuzzy sets (CIFS) are presented. Finally, an efficient algorithm with a consistent process and an application in multiple attributes decision-making (MADM) problems are presented to show the effectiveness of the presented approach by using CHFS aggregation operators.

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