LEARNING DECISION FUNCTIONS IN THE FUZZY γ-MODELS

2000 ◽  
Vol 09 (04) ◽  
pp. 459-471 ◽  
Author(s):  
JUNG-HSIEN CHIANG
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Simulation Study ◽  
Information Aggregation ◽  
Aggregation Operator ◽  
Decision Making Process ◽  
Hierarchical Network ◽  
Numerical Examples ◽  
Fuzzy Models ◽  
Degree Of Satisfaction

In this approach, we investigate the fuzzy γ-models for decision analysis and making. This methodology utilizes fuzzy γ-model as an information aggregation operator. It provides several advantages due to the fact that the input to each model is the evidence supplied by the degree of satisfaction of sub-criteria and the output is the aggregated evidence. We also generalize fuzzy γ-models as a hierarchical network in this work. Thus, the decision making process is to aggregate and propagate the evidence information through such a hierarchical network. This trainable network is able to perceive and interpret complex decisions by using those fuzzy models. The simulation study examines the learning behaviors of the fuzzy γ-models using two numerical examples.

scholarly journals MULTIPLE CRITERIA DECISION ANALYSIS USING PRIORITISED INTERVAL TYPE-2 FUZZY AGGREGATION OPERATORS AND ITS APPLICATION TO SITE SELECTION

2017 ◽  
Vol 23 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Ting-Yu CHEN
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Site Selection ◽  
Aggregation Operator ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
Landfill Site Selection ◽  
Fuzzy Aggregation ◽  
Interval Type

The theory of interval type-2 fuzzy sets provides an intuitive and computationally feasible method of addressing uncertain and ambiguous information in decision-making fields. This paper aims to develop a prioritised interval type-2 fuzzy aggregation operator and apply it to multiple criteria decision analysis with prioritised criteria. This paper considers situations in which a relationship between the criteria exists such that a lack of satisfaction by the higher priority criteria cannot be readily compensated by the satisfaction of lower priority criteria. This paper introduces the developed prioritised interval type-2 fuzzy aggregation operator to address the problem of criteria aggregation in this environment. To demonstrate the feasibility of the proposed operator, this paper provides a multiple criteria decision-making method that uses the prioritised interval type-2 fuzzy aggregation operator, and the method is illustrated with a practical application to landfill site selection.

scholarly journals Implementación de un método para alcanzar un paisaje resiliente mediante la ubicación apropiada de edificaciones rurales

2016 ◽  
Vol 16 (1) ◽  
pp. 19 ◽  
Author(s):  
Jin Su Jeong ◽  
Lorenzo García Moruno ◽  
David González Gómez ◽  
Steve Carver
Keyword(s):  
Decision Making ◽  
European Union ◽  
Decision Analysis ◽  
Decision Making Process ◽  
Location Planning ◽  
Complex Process ◽  
Rural Buildings ◽  
Criteria Weights ◽  
Eu Directives ◽  
Suitable Location

<p>Suitable location planning of rural buildings is a complex process to be in harmony with landscapes. This paper presents a multi-criteria spatial decision analysis approach using GIS techniques. The research aim is to evaluate the study area suitability to sustainably site tourism rural commercial buildings with landscapes. The criteria weights were decided by the authors with relevant literatures, regional polices and European Union (EU) directives and experts’ discussion. The results reveal the most suitable areas for siting them, not to find a single suitable solution. They explain the weighting flexibility strengths of the application in the decision making process.</p>

scholarly journals The decision sampling framework: a methodological approach to investigate evidence use in policy and programmatic innovation

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Thomas I. Mackie ◽  
Ana J. Schaefer ◽  
Justeen K. Hyde ◽  
Laurel K. Leslie ◽  
Emily A. Bosk ◽  
...  
Keyword(s):  
Decision Making ◽  
Foster Care ◽  
Decision Analysis ◽  
Research Evidence ◽  
Methodological Approach ◽  
Qualitative Inquiry ◽  
Decision Making Process ◽  
Illustrative Case ◽  
Evidence Use

Abstract Background Calls have been made for greater application of the decision sciences to investigate and improve use of research evidence in mental health policy and practice. This article proposes a novel method, “decision sampling,” to improve the study of decision-making and research evidence use in policy and programmatic innovation. An illustrative case study applies the decision sampling framework to investigate the decisions made by mid-level administrators when developing system-wide interventions to identify and treat the trauma of children entering foster care. Methods Decision sampling grounds qualitative inquiry in decision analysis to elicit information about the decision-making process. Our case study engaged mid-level managers in public sector agencies (n = 32) from 12 states, anchoring responses on a recent index decision regarding universal trauma screening for children entering foster care. Qualitative semi-structured interviews inquired on questions aligned with key components of decision analysis, systematically collecting information on the index decisions, choices considered, information synthesized, expertise accessed, and ultimately the values expressed when selecting among available alternatives. Results Findings resulted in identification of a case-specific decision set, gaps in available evidence across the decision set, and an understanding of the values that guided decision-making. Specifically, respondents described 14 inter-related decision points summarized in five domains for adoption of universal trauma screening protocols, including (1) reach of the screening protocol, (2) content of the screening tool, (3) threshold for referral, (4) resources for screening startup and sustainment, and (5) system capacity to respond to identified needs. Respondents engaged a continuum of information that ranged from anecdote to research evidence, synthesizing multiple types of knowledge with their expertise. Policy, clinical, and delivery system experts were consulted to help address gaps in available information, prioritize specific information, and assess “fit to context.” The role of values was revealed as participants evaluated potential trade-offs and selected among policy alternatives. Conclusions The decision sampling framework is a novel methodological approach to investigate the decision-making process and ultimately aims to inform the development of future dissemination and implementation strategies by identifying the evidence gaps and values expressed by the decision-makers, themselves.

scholarly journals Análise Multicritério Nebulosa de Empresas

2018 ◽  
Vol 16 (2) ◽  
pp. 221
Author(s):  
Antonio Marcos Duarte Junior ◽  
Hugo Ghiaroni Albuquerque e Silva
Keyword(s):  
Decision Making ◽  
Risk Measures ◽  
Credit Ratings ◽  
Fuzzy Mathematics ◽  
Decision Making Process ◽  
Balance Sheets ◽  
Numerical Examples ◽  
Equity Analysts ◽  
Expected Performance ◽  
Portfolio Managers

We consider the problem of equity valuation. The use of fuzzy multicriteria decision analysis is proposed to solve the problem. The resulting methodology allows the use of the multiples most often calculated by equity analysts from audited balance sheets, with the addition of qualitative criteria, such as corporate governance, sustainability indicators and credit ratings, as well as risk measures (liquidity and market) based on trading prices and volumes. Also, the proposal facilitates incorporating uncertainty into the problem with the use of fuzzy mathematics. The resulting methodology proved to be robust and offered detailed information about expected performance under adverse scenarios, enhancing the decision-making process faced by equity analysts and portfolio managers. Numerical examples obtained with data from the Brazilian stock market are exhibited for illustrative purposes.

scholarly journals A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator

2022 ◽  
Author(s):  
Firoz Ahmad ◽  
Ahmad Yusuf Adhami ◽  
Boby John ◽  
Amit Reza
Keyword(s):  
Decision Making ◽  
Multiobjective Optimization ◽  
Decision Maker ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Aggregation Operator ◽  
Decision Making Process ◽  
Mathematical Framework ◽  
Multiobjective Optimization Problem ◽  
Fuzzy Aggregation

Many decision-making problems can solve successfully by traditional optimization methods with a well-defined configuration.  The formulation of such optimization problems depends on crisply objective functions and a specific system of constraints.  Nevertheless, in reality, in any decision-making process, it is often observed that due to some doubt or hesitation, it is pretty tricky for decision-maker(s) to specify the precise/crisp value of any parameters and compelled to take opinions from different experts which leads towards a set of conflicting values regarding satisfaction level of decision-maker(s). Therefore the real decision-making problem cannot always be deterministic. Various types of uncertainties in parameters make it fuzzy.  This paper presents a practical mathematical framework to reflect the reality involved in any decision-making process. The proposed method has taken advantage of the hesitant fuzzy aggregation operator and presents a particular way to emerge in a decision-making process. For this purpose,  we have discussed a couple of different hesitant fuzzy aggregation operators and developed linear and hyperbolic membership functions under hesitant fuzziness, which contains the concept of hesitant degrees for different objectives.  Finally, an example based on a multiobjective optimization problem is presented to illustrate the validity and applicability of our proposed models.

scholarly journals Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making

Mathematics ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 50 ◽  
Author(s):  
Derya Bakbak ◽  
Vakkas Uluçay ◽  
Memet Şahin
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operator ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Algebraic Properties

In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concept of NSEMs is introduced. Several operations have been defined for them and their important algebraic properties are studied. Finally, we define a NSEMs aggregation operator to construct an algorithm for a NSEM decision-making method that allows for a more efficient decision-making process.

PP90 The Value Of Multi-Criteria Decision Analysis Use On Health Technology Decision Making Process

2018 ◽  
Vol 34 (S1) ◽  
pp. 100-100 ◽  
Author(s):  
Ana Etges ◽  
Bruna Zanotto ◽  
Prisciane da Rosa ◽  
Carisi Polanczyk
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Decision Analysis ◽  
New Technology ◽  
Health Technology ◽  
Strategic Decision ◽  
Decision Making Process ◽  
Multi Criteria Decision Analysis ◽  
Decision Making Processes ◽  
Hierarchy Process

Introduction:The use of multi-criteria decision analysis (MCDA) in health technology assessment (HTA) studies has become more common due to the fact that MCDA offers a comprehensive technique for decisions that involve multiple criteria and stakeholders. How MCDA contributes to the HTA decision making process is an issue to be investigated. A systematic review was carried out in order to provide an overview of the benefits identified in MCDA applications for the strategic HTA decision making process.Methods:A systematic review developed by Philip Wahlster et al. (2014) was updated. The papers were analyzed in order to determine how MCDA is connected with traditional HTA, and to identify opportunities through the application of MCDA. In total 965 papers were found, and 43 articles were included in the review. The included articles detailed MCDA applications oriented to tactical and strategic decision making processes. The review was conducted by two researchers.Results:Of the available studies published on MCDA, 76 percent were published between 2014 and 2017, and 24 percent were published prior to 2014. Regarding the MCDA methodology defined in the included studies, 10 used the analytical hierarchy process, four used multi-attribute theory, and others refer the methodology only as “MCDA”. Seventeen studies also included health technology economic analysis, in special cost-effectiveness, safety and technological innovation. The studies suggest MCDA adds value since it allows different stakeholders to be engaged in the decision making process.Conclusions:The increase in studies on MCDA and healthcare point to the possibility to add different criteria, engage people with different knowledge levels, and make the decision-making process more transparent. In comparison with other technical areas, the use of MCDA in healthcare is more focused on achieving the decision about adding the new technology, and to show how to engage stakeholders than to explain how to develop the algorithms and methodologies.

Prior Commitment and Information Recall

1997 ◽  
Vol 85 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Richard G. Brody ◽  
Laura L. Bowman
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Decision Making Process ◽  
Final Decision ◽  
Escalation Of Commitment ◽  
Information Recall ◽  
Sequential Task ◽  
Initial Decision ◽  
Course Of Action ◽  
By Products

Responsibility is related to escalation of commitment, a phenomenon in which individuals continue to invest in a failing course of action despite evidence that suggests that continued investment is unwise. Prior research indicates that individuals making multiple decisions as part of a sequential task are likely to engage in escalation behavior (Brockner, 1992). Investigators of escalation have not examined cognitive by-products of the decision-making process. In this study, the number of decisions, e.g., one or two, was used to manipulate the amount of responsibility. It was predicted that subjects making multiple decisions would remember more information supporting their initial decision than those who made only a single final decision. Analysis indicated that proportion recalled was the same for both groups. It appears that memory for the information used in the decision-making process is not related to amount of responsibility.

Some Generalized Dual Hesistant Fuzzy Geometric Aggregation Operators and Applications

2014 ◽  
Vol 22 (03) ◽  
pp. 367-384 ◽  
Author(s):  
Dejian Yu
Keyword(s):  
Decision Making ◽  
Human Resource ◽  
Information Aggregation ◽  
Aggregation Operators ◽  
Multi Criteria Decision Making ◽  
Fuzzy Information ◽  
Numerical Examples ◽  
Fuzzy Environment ◽  
Decision Making Problem

Information aggregation has been investigated and applied to many fields. This paper focuses on geometric aggregation operators under dual hesitant fuzzy environment. We develop some new geometric aggregation operators, such as the generalized dual hesitant fuzzy weighted geometric (GDHFWG) operator, the generalized dual hesitant fuzzy ordered weighted geometric (GDHFOWG) operator and the generalized dual hesitant fuzzy hybrid geometric (GDHFHG) operator. Some numerical examples are given to illustrate the developed operators. Finally, we give an application of our proposed operators to multi-criteria decision making with dual hesitant fuzzy information, a real decision making problem about human resource generalist selection is forwarded to show the effectiveness of our proposed method.

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