Flexible and Interactive Tradeoff Elicitation for Multicriteria Sorting Problems

2020 ◽  
Vol 37 (05) ◽  
pp. 2050020 ◽  
Author(s):  
Takanni Hannaka Abreu Kang ◽  
Eduarda Asfora Frej ◽  
Adiel Teixeira de Almeida
Keyword(s):  
Partial Information ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Complete Information ◽  
Value Theory ◽  
Management Problem ◽  
Sorting Problems ◽  
Elicitation Process ◽  
Multicriteria Sorting ◽  
Elicitation Procedure

In this paper, we propose a new method for solving multiple criteria decision-making/aiding (MCDM/A) sorting problems in the context of multi-attribute value theory (MAVT), based on a flexible and interactive elicitation process. It uses partial information to require less information from the decision maker (DM), which is given in the form of preference statements. The proposed method keeps the axiomatic structure of the traditional tradeoff elicitation procedure, without requiring exact values of indifference to be set, which can be a difficult task for the DM to perform. The use of linear programming, combined with the decision rules, allows an alternative to be assigned into a class without the need to provide complete information. By being flexible and interactive, the proposed method allows the DM to monitor the range of possible classes for each alternative at any level of information available during the process, which can save time and effort. The applicability of the method is shown by solving a project management problem on sorting activities.

Applied Rough Set Logics for Multi-Criteria Decision Analysis in Stock Index Volatility Projection

2011 ◽  
Vol 14 (04) ◽  
pp. 715-735
Author(s):  
Wen-Rong Jerry Ho
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Stock Index ◽  
Rule Based ◽  
Set Up ◽  
Decision Making Model

The main purpose of this paper is to advocate a rule-based forecasting technique for anticipating stock index volatility. This paper intends to set up a stock index indicators projection prototype by using a multiple criteria decision making model consisting of the cluster analysis (CA) technique and Rough Set Theory (RST) to select the important attributes and forecast TSEC Capitalization Weighted Stock Index. The projection prototype was then released to forecast the stock index in the first half of 2009 with an accuracy of 66.67%. The results point out that the decision rules were authenticated to employ in forecasting the stock index volatility appropriately.

Analysing and improving the strategic alignment of firms’ resource dynamics

2017 ◽  
Vol 18 (1) ◽  
pp. 217-240 ◽  
Author(s):  
Amir Zakery ◽  
Abbas Afrazeh ◽  
John Dumay
Keyword(s):  
Value Creation ◽  
Critical Role ◽  
Decision Rules ◽  
Growth Strategy ◽  
Management Problem ◽  
Insurance Company ◽  
Content Type ◽  
Market Growth ◽  
Causal Ambiguity ◽  
Resource Dynamics

Purpose The purpose of this paper is to shed light on improving value creation from intellectual capital (IC) through reducing causal ambiguity and finding effective IC interventions. Design/methodology/approach First, several guiding rules demonstrating the contribution of system dynamics (SD) to the field of IC management are introduced. Second, evidence for modelling resource dynamics is provided across a knowledge-based industry, insurance. Third, a management problem of an insurance company is modelled and then simulated using SD tools to monitor and improve the alignment of key resources with the firm’s market growth strategy. Findings The modelling and further simulation practice demonstrated the advantages of applying SD for analysing resource management problems to identify the critical IC components, intervention points and decision rules that may stimulate value-creating loops. Specifically for the case of an insurance company’s failure in market growth, it led to recognising the critical role of agency sales productivity as a key component of company’s relational capital and the intellectual liabilities that can lead to value destruction. Originality/value Reducing causal ambiguity in IC value creation through modelling and simulating firm resource dynamics is the main contribution of this paper. It enables finding the best intervention points for developing IC-based initiatives to stimulate value-creation mechanisms, as well identifying possible points of value destruction.

scholarly journals Monetarizing the social value: theory and evidence

2019 ◽  
pp. 43
Author(s):  
José Luis Retolaza ◽  
Leire San-José ◽  
Maite Ruiz Roqueñi
Keyword(s):  
Social Impact ◽  
Economic Value ◽  
Complete Information ◽  
Financial Economic ◽  
Value Theory ◽  
Social Value ◽  
Social Responsibilities ◽  
Private Organizations ◽  
The Social ◽  
Accounting Model

Over the last decade important efforts were made to integrate economic and social value in organizations within a unic report. This is significant because it reflects greater interest and demands in society concerning not just economic but social responsibilities of organizations.However, social organizations are finding problems to give value to their social contribution, mainly due to the prominence of financial economic indicators; which curiously only have instrumental value in this type of entities.The aim of this paper is to develop a social accounting model that allows incorporating the social value, in its monetized form, employing accounting standards; with the economic one. It is not possible to monetize full social value with this model, although it does show economic value with social impact, socio-economic return and specific social value.Application of this model makes possible the quantitative and monetized comparison of integrated value between companies, which would involve more efficient decision-making based on symmetry and more complete information (private organizations), more efficiency in consumption or investment decisions (private individuals) and efficient indicators for establishing public policies (public administration). Overall, it could prove to be a basic and valuable component of business reputation.

scholarly journals Distributed Hybrid Two-Stage Multi-Sensor Fusion for Cooperative Modulation Classification in Large-Scale Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4339 ◽  
Author(s):  
Markovic ◽  
Sokolovic ◽  
Dukic
Keyword(s):  
Large Scale ◽  
Partial Information ◽  
Complete Information ◽  
Decision Fusion ◽  
Fusion Process ◽  
Modulation Classification ◽  
Two Stage ◽  
Multiple Sensors ◽  
Cluster Data ◽  
Large Scale Networks

Recent studies showed that the performance of the modulation classification (MC) is considerably improved by using multiple sensors deployed in a cooperative manner. Such cooperative MC solutions are based on the centralized fusion of independent features or decisions made at sensors. Essentially, the cooperative MC employs multiple uncorrelated observations of the unknown signal to gather more complete information, compared to the single sensor reception, which is used in the fusion process to refine the MC decision. However, the non-cooperative nature of MC inherently induces large loss in cooperative MC performance due to the unreliable measure of quality for the MC results obtained at individual sensors (which causes the partial information loss while performing centralized fusion). In this paper, the distributed two-stage fusion concept for the cooperative MC using multiple sensors is proposed. It is shown that the proposed distributed fusion, which combines feature (cumulant) fusion and decision fusion, facilitate preservation of information during the fusion process and thus considerably improve the MC performance. The clustered architecture is employed, with the influence of mismatched references restricted to the intra-cluster data fusion in the first stage. The adopted distributed concept represents a flexible and scalable solution that is suitable for implementation of large-scale networks.

MCDM Model for Natural Gas Pressure Reducing Station Site Selection

2021 ◽  
Vol 13 (1) ◽  
pp. 67-84
Author(s):  
Naylil Liria Baldin de Lacerda ◽  
João Batista Sarmento dos Santos-Neto ◽  
Carolina Lino Martins
Keyword(s):  
Natural Gas ◽  
Site Selection ◽  
Decision Model ◽  
Complete Information ◽  
Distribution Company ◽  
Elicitation Process ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
A Site ◽  
Station Site

Considering the increasing scenario of natural gas consumption, it is necessary that all agents in the chain use methods that structure decision-making and problem-solving processes. This paper proposes a multicriteria decision model to solve a site selection problem for a pressure reducing station. A natural gas distribution company was selected to test the model and the preference modeling was conducted through the flexible interactive tradeoff (FITradeoff) approach, according to the preferences of the decision maker (DM). FITradeoff's decision support system was used to assess the alternatives of the model, through the inference of the criteria scale constants. The results proved the robustness of the model and the DM evidenced consistency in its preferences. Also, the FITradeoff method demonstrated to be intuitive to apply, since a smaller effort is required from the DM and this is because the procedure does not require complete information in the scale constants elicitation process.

Cabinet Decision Rules and Political Uncertainty in Parliamentary Bargaining

2001 ◽  
Vol 95 (2) ◽  
pp. 345-360 ◽  
Author(s):  
John D. Huber
Keyword(s):  
Bargaining Power ◽  
Decision Rules ◽  
Complete Information ◽  
The Political ◽  
Formal Models ◽  
Political Uncertainty ◽  
Party Leaders ◽  
Prime Ministers ◽  
Parliamentary Systems ◽  
Empirical Tests

We investigate how cabinet decision-making rules interact with political uncertainty to affect the outcomes of bargaining processes in parliamentary systems. Our formal models compare two types of decisions rules: (1) those that give prime ministers unilateral authority to demand a vote of confidence and (2) those that require prime ministers to obtain collective cabinet approval for confidence motions. We examine these models under assumptions of complete information and of political uncertainty, that is, party leaders lack information about the precise policies that others in the governing coalition will support. Our analysis suggests that the nature of the cabinet decision rules should influence the distribution of bargaining power, the ability to exploit political uncertainty, the likelihood of inefficient government terminations, the circumstances surrounding such failures, and, indirectly, the political considerations that parties face when choosing prime ministers during government formation. Simple empirical tests support some of these insights.

scholarly journals COMBINING DRSA DECISION-RULES WITH FCA-BASED DANP EVALUATION FOR FINANCIAL PERFORMANCE IMPROVEMENTS

2015 ◽  
Vol 22 (5) ◽  
pp. 685-714 ◽  
Author(s):  
Kao-Yi SHEN ◽  
Gwo-Hshiung TZENG
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Evaluation Model ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Formal Concept ◽  
Performance Improvements ◽  
Soft Computing Techniques ◽  
Network Process ◽  
Managerial Implications

This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find decision rules associated with FP changes. Companies may identify its underperformed criterion (gap) to conduct formal concept analysis (FCA) – by implication rules – to explore the source criteria regarding the underperformed gap. The source criteria are analysed by decision making trial and evaluation laboratory (DEMATEL) technique to explore the cause-effect relationship among the source criteria for guiding improvements; in the next, DEMATEL-based analytical network process (DANP) can provide the influential weights to form an evaluation model, to select or rank improvement plans. To illustrate the proposed method, the financial data of a real semiconductor company is used as an example to show the involved processes: from performance gaps identification to the selection of five assumed improvement plans. Moreover, the obtained implication rules can integrate with DEMATEL analysis to explore directional influences among the critical criteria, which may provide rich insights and managerial implications in practice.

scholarly journals Crossroad control algorithm based on V2I-interaction

2019 ◽  
pp. 21-27
Author(s):  
A. N. Klimovich ◽  
V. N. Shuts
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
General Scheme ◽  
Light Regulation ◽  
Complete Information ◽  
Adaptive Methods ◽  
Mobile Internet ◽  
Management Problem ◽  
Traffic Light ◽  
Positioning Systems

The importance of efficient traffic management problem grows every year. Constantly increasing number of vehicles and traffic volume requires improvement of methods and algorithms of traffic control. Such improvement becomes possible due to the spreading of global navigation and positioning systems, the development of wireless communication technologies and mobile internet, the advance in specialized technologies for interaction between vehicles and road infrastructure (V2I), the enhancement of machine learning models, computer vision algorithms, the emergence of driverless cars. This paper considers the novel approach to traffic management at intersection based on the use of V2I communication, describes general scheme of such approach and differences with conventional traffic light regulation. Developed algorithm of intersection management utilizes advantages of V2I communication to increase throughput of the intersection comparing to simple traffic light regulation and more advanced adaptive methods. The increase of throughput is achieved due to the dynamic construction of regulation phases which can be done because of more complete information about traffic flow. The comparence of various methods of regulation was performed in developed traffic simulation environment based on multi-agent approach.

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