scholarly journals Final report of the NOR project "Management of reindeer pastures under uncertainty" Report title: "A decision-tool for adaptation of reindeer herds to rangeland: the user's manual".

Rangifer ◽  
2003 ◽  
Vol 23 (4) ◽  
pp. 1
Author(s):  
Erling Moxnes ◽  
Öje Danell ◽  
Eldar Gaare ◽  
Jouko Kumpula
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Present Report ◽  
Decision Makers ◽  
Final Report ◽  
Imprecise Data ◽  
Decision Tool ◽  
Nordic Council ◽  
Council Of Ministers ◽  
Complicated Task

The management of reindeer ranges is a complicated task as indicated both by the complexity of the normative analyses required and the mismanagement observed in real and laboratory settings. The present report is a user's manual to a decision-tool that attempts to strike a balance between complex normative analyses and practical decision-making. A simulator is provided to give decision-makers experience with the tool and to build intuition for strategies. Several cases are used to illustrate the use of the decision-tool and to demonstrate how even scarce and imprecise data can yield important insights. The project has been financed by "Nordisk ministerråd" ("Nordic Council of Ministers") under the program "Nordiska miljöstrategin för jord- och skogsbruk 1996-1999" ("Nordic Environmental Strategies for Agriculture and Forestry 1996-1999"). It was initiated and administered by "Nordisk organ for reinforskning" (NOR) ("Nordic Council for Reindeer Research").

Integrating AHP Application for Project Management

2014 ◽  
Vol 575 ◽  
pp. 895-899
Author(s):  
Waled Alzober ◽  
Abdul Razak Yaakub
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Decision Tool ◽  
Managerial Decision ◽  
Management Issues

Project management considers theme as the most vibrant and dynamic multi-disciplinary. Project management includes situations of decision making that are complex, thus the discerning methods to make a sound decisions are required. AHP has been used as a managerial decision tool in many industries. For most cases in project management, AHP has been used as a standalone methodology. In an attempt to extend the use of integrated AHP applications to areas that regarding to project management issues, this paper aims to introduce the integrated AHP application for dealing with project management issues. Combined AHP with some meta-heuristics approaches will be suitable to solve the problem related of the project management.

scholarly journals Methods to support evidence-informed decision-making in the midst of COVID-19: creation and evolution of a rapid review service from the National Collaborating Centre for Methods and Tools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarah E. Neil-Sztramko ◽  
Emily Belita ◽  
Robyn L. Traynor ◽  
Emily Clark ◽  
Leah Hagerman ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Lessons Learned ◽  
Decision Makers ◽  
Rapid Review ◽  
Final Report ◽  
Health Crisis ◽  
Public Health Decision ◽  
Public Health Crisis ◽  
Health Decision

Abstract Background The COVID-19 public health crisis has produced an immense and quickly evolving body of evidence. This research speed and volume, along with variability in quality, could overwhelm public health decision-makers striving to make timely decisions based on the best available evidence. In response to this challenge, the National Collaborating Centre for Methods and Tools developed a Rapid Evidence Service, building on internationally accepted rapid review methodologies, to address priority COVID-19 public health questions. Results Each week, the Rapid Evidence Service team receives requests from public health decision-makers, prioritizes questions received, and frames the prioritized topics into searchable questions. We develop and conduct a comprehensive search strategy and critically appraise all relevant evidence using validated tools. We synthesize the findings into a final report that includes key messages, with a rating of the certainty of the evidence using GRADE, as well as an overview of evidence and remaining knowledge gaps. Rapid reviews are typically completed and disseminated within two weeks. From May 2020 to July 21, 2021, we have answered more than 31 distinct questions and completed 32 updates as new evidence emerged. Reviews receive an average of 213 downloads per week, with some reaching over 7700. To date reviews have been accessed and cited around the world, and a more fulsome evaluation of impact on decision-making is planned. Conclusions The development, evolution, and lessons learned from our process, presented here, provides a real-world example of how review-level evidence can be made available – rapidly and rigorously, and in response to decision-makers’ needs – during an unprecedented public health crisis.

scholarly journals Women Quota in Lebanon: A False Promise?

1970 ◽  
pp. 58-65
Author(s):  
Marguerite El-Helou
Keyword(s):  
Decision Making ◽  
Human Rights ◽  
Civil Society Organizations ◽  
Decision Makers ◽  
Decision Making Process ◽  
Public Office ◽  
Policy Makers ◽  
Factors Influencing ◽  
Council Of Ministers ◽  
Local Levels

Demands for the adoption of women quota in public office, whether these positions are by election or appointment, were late in materializing and reaching the agenda of policy-makers in Lebanon. Persistent efforts by some civil society organizations since the 1990s and the appointment of a human rights activist as a Minister of Interior in 2008 led to the submission of two official proposals to this end as part of a general electoral reform. Nothing has materialized so far. The first proposal, calling for a women quota on parliamentary electoral lists, was aborted by Parliament in 2008. The second, calling for the allocation of seats for women on the municipal councils was approved by the Council of Ministers on January 29, 2010 but still awaits adoption by Parliament.1 In light of the prevalent frustration with the decision-makers’ failure to seriously act on this issue, the following sections of this paper aim at providing an assessment of the contributions that the two suggested quota proposals may have made to the enhancement of women representation in public office at the national and local levels respectively, as well as highlighting the factors influencing the decision-making process on this issue.

scholarly journals Methods to support evidence-informed decision-making in the midst of COVID- 19: Creation and evolution of a rapid review service from the National Collaborating Centre for Methods and Tools

2021 ◽  
Author(s):  
Sarah Neil-Sztramko ◽  
Emily Belita ◽  
Robyn L. Traynor ◽  
Emily Clark ◽  
Leah Hagerman ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Lessons Learned ◽  
Decision Makers ◽  
Rapid Review ◽  
Final Report ◽  
Health Crisis ◽  
Public Health Decision ◽  
Public Health Crisis ◽  
Health Decision

Abstract Background The COVID-19 public health crisis has produced an immense and quickly evolving body of evidence. This research speed and volume, along with variability in quality, could overwhelm public health decision-makers striving to make timely decisions based on the best available evidence. In response to this challenge, the National Collaborating Centre for Methods and Tools developed a Rapid Evidence Service, building on internationally accepted rapid review methodologies, to address priority COVID-19 public health questions. Methods Each week, we receive requests from public health decision-makers and frame the prioritized topics into searchable questions. We develop and conduct a comprehensive search strategy and critically appraise all relevant evidence using validated tools. We synthesize the findings into a final report that includes key messages, with a rating of the certainty of the evidence using GRADE, as well as an overview of evidence and remaining knowledge gaps. Rapid reviews are typically completed and disseminated within two weeks. Results As of May 12, 2021, we have answered more than 29 distinct questions and completed 28 updates as new evidence emerged. Reviews receive an average of 200 downloads per week, with some reaching up to 5000. To date reviews have been accessed and cited around the world, and a more fulsome evaluation of impact on decision making is planned. Conclusions The development, evolution, and lessons learned from our process, presented here, provides a real-world example of how review-level evidence can be made available – rapidly and rigorously, and in response to decision-makers’ needs – during an unprecedented public health crisis.

scholarly journals The Nordic Thematic Group for Innovative and Resilient Regions 2017–2020 - final report

2021 ◽  
Author(s):  
Jukka Teräs ◽  
◽  
Anna Berlina ◽  
Mari Wøien Meijer
Keyword(s):  
Nordic Countries ◽  
Final Report ◽  
Sustainable Cities ◽  
High Quality ◽  
Sustainable Rural Development ◽  
High Quality Research ◽  
Cross Border ◽  
Nordic Council ◽  
Smart Specialisation ◽  
Council Of Ministers

The Nordic thematic group for innovative and resilient regions 2017–2020 (TG2) was established by the Nordic Council of Ministers and is a part of the Nordic Co-operation Programme for Regional Development and Planning 2017–2020. Three Nordicthematic groups were established for the four-year period: Innovative and resilient regions, Sustainable rural development, and Sustainable cities and urban development. The thematic groups have been organised under the Nordic Council of Ministers’ Committee of Civil Servants for Regional Affairs, and Nordregio has acted as the secretariat for the thematic groups. This report summarises the work and results of the Nordic thematic group for innovative and resilient regions (TG2) in 2017–2020. The thematic group has not only produced high-quality research on innovative and resilient regions in the Nordic countries but also contributed to public policy with the latest knowledge on the creation and development of innovative and resilient regions across the nordic countries, with focus on smart specialisation, digitalisation, regional resilience, and skills policies. TG2 has also contributed to research on innovative and resilient regions in the Nordic cross-border context.

scholarly journals A statistical approach for improvement of Best Worst Method (BWM)

2019 ◽  
Author(s):  
Morteza Yazdani ◽  
Violeta Doval Hernandez ◽  
Prasenjit Chatterjee ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Statistical Approach ◽  
Decision Makers ◽  
Sustainable Construction ◽  
Decision Making Process ◽  
Decision Tool ◽  
Group Opinion ◽  
Decision Making Tool ◽  
Best Worst Method

This paper endeavors to measure the consistency of a decision-making tool, popularly known as Best Worst Method (BWM), which is one of the latest developments in multiple-criteria decision analysis (MCDA). BWM is finding a vast arra of applications in the literature. Several investigators have extended this tool. BWM measures the weight of decision-making criterion and is recognized as a subjective decision tool. The first step in this method is to find the best and worst criterion, while we suppose several experts are asked to present their evaluation over set of criteria. The aim is to measure how these judgments are consistent and reliable. So, we statistically (using χ2 distribution) add a pre-evaluation to experts’ opinion and analyze whether the agreement of experts’ opinions is satisfactory and group opinion is established. This action improves the quality of the decision-making process by incorporating the reliability evaluation of experts’ idea. This extension for BWM helps decision makers in facilitating and getting results that are more consistent for criteria evaluation. We present examples in sustainable construction and architecture project.

SUPPORTING DECISION MAKING IN CROSS-BORDER REGIONS: A HEALTH TECHNOLOGY ASSESSMENT TOOL FOR HOSPITALS

2012 ◽  
Vol 29 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Saskia Knies ◽  
Gloria Lombardi ◽  
Matt Commers ◽  
Hans-Peter Dauben ◽  
Silvia Evers ◽  
...  
Keyword(s):  
Decision Making ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Health Technology ◽  
Decision Makers ◽  
Decision Making Process ◽  
Decision Tool ◽  
Health Technologies ◽  
Border Regions ◽  
Cross Border

Objectives: The aim of this study was to develop an health technology assessment (HTA) decision tool to support the decision-making process on health technologies for hospital decision makers in cross-border regions.Methods: Several methods were used to collect information necessary to develop the cross-border mini-HTA decision tool. The literature was inventoried on HTA in border regions and local settings and the use of HTA by local decision makers. Semi-structured interviews with hospital decision makers in cross-border regions were also performed. Based on group discussion of the resulting information, it was decided to use the Danish mini-HTA guideline as a starting point for development of the decision tool. After finishing the first version of the decision tool it was tested in two pilot studiesResults: Some questions in the Danish mini-HTA guideline were not relevant. Other questions needed rephrasing and questions about cross-border situations were added. The pilots showed several missing topics, including legal questions and reimbursement issues. The final decision tool consists of three sections: a general section, a section for hospitals not cooperating cross-border and a section for hospitals that are cooperating with hospitals across a national or regional border.Conclusions: Based on our literature search, this may be the first cross-border mini-HTA decision tool. The decision tool will be of help for healthcare professionals and decision makers in border settings who would like to use HTA evidence to support their decision-making process.

scholarly journals Multi-objective Optimization Algorithms with the Island Metaheuristic for Effective Project Management Problem Solving

Organizacija ◽  
2017 ◽  
Vol 50 (4) ◽  
pp. 364-373 ◽  
Author(s):  
Christina Brester ◽  
Ivan Ryzhikov ◽  
Eugene Semenkin
Keyword(s):  
Decision Making ◽  
Project Management ◽  
Optimization Problem ◽  
Decision Makers ◽  
Management Problem ◽  
Multi Objective Optimization ◽  
Financial Investment ◽  
Financial Responsibility ◽  
Multi Objective ◽  
Decision Making Problem

Abstract Background and Purpose: In every organization, project management raises many different decision-making problems, a large proportion of which can be efficiently solved using specific decision-making support systems. Yet such kinds of problems are always a challenge since there is no time-efficient or computationally efficient algorithm to solve them as a result of their complexity. In this study, we consider the problem of optimal financial investment. In our solution, we take into account the following organizational resource and project characteristics: profits, costs and risks. Design/Methodology/Approach: The decision-making problem is reduced to a multi-criteria 0-1 knapsack problem. This implies that we need to find a non-dominated set of alternative solutions, which are a trade-off between maximizing incomes and minimizing risks. At the same time, alternatives must satisfy constraints. This leads to a constrained two-criterion optimization problem in the Boolean space. To cope with the peculiarities and high complexity of the problem, evolution-based algorithms with an island meta-heuristic are applied as an alternative to conventional techniques. Results: The problem in hand was reduced to a two-criterion unconstrained extreme problem and solved with different evolution-based multi-objective optimization heuristics. Next, we applied a proposed meta-heuristic combining the particular algorithms and causing their interaction in a cooperative and collaborative way. The obtained results showed that the island heuristic outperformed the original ones based on the values of a specific metric, thus showing the representativeness of Pareto front approximations. Having more representative approximations, decision-makers have more alternative project portfolios corresponding to different risk and profit estimations. Since these criteria are conflicting, when choosing an alternative with an estimated high profit, decision-makers follow a strategy with an estimated high risk and vice versa. Conclusion: In the present paper, the project portfolio decision-making problem was reduced to a 0-1 knapsack constrained multi-objective optimization problem. The algorithm investigation confirms that the use of the island meta-heuristic significantly improves the performance of genetic algorithms, thereby providing an efficient tool for Financial Responsibility Centres Management.

scholarly journals Fuzzy Multiobjective Reliability Optimization Problem of Industrial Systems Using Particle Swarm Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Harish Garg
Keyword(s):  
Decision Making ◽  
Optimization Problem ◽  
Decision Makers ◽  
Reliability Optimization ◽  
Imprecise Data ◽  
Design Problems ◽  
Industrial Systems ◽  
Conflicting Objectives ◽  
Decision Making Problem ◽  
Practical Constraints

The present work investigates the reliability optimization problem of the repairable industrial systems by utilizing uncertain, limited, and imprecise data. In many practical situations where reliability enhancement is involved, the decision making is complicated because of the presence of several mutually conflicting objectives. Moreover, data collected or available for the systems are vague, ambiguous, qualitative, and imprecise in nature due to various practical constraints and hence create some difficulties in optimizing the design problems. To handle these problems, this work presents an interactive method for solving the fuzzy multiobjective optimization decision-making problem, which can be used for the optimization decision making of the reliability with two or more objectives. Based on the preference of the decision makers toward the objectives, fuzzy multi-objective optimization problem is converted into crisp optimization problem and then solved with evolutionary algorithm. The proposed approach has been applied to the decomposition unit of a urea fertilizer plant situated in the northern part of India producing 1500–2000 metric tons per day.

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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