scholarly journals Landscape-scale simulations as a tool in multi-criteria decision making for agri-environment schemes

2019 ◽  
Author(s):  
Chris J. Topping ◽  
Lars Dalby ◽  
Jose W. Valdez
Keyword(s):  
Decision Making ◽  
Management Practices ◽  
Management Strategies ◽  
Simulation System ◽  
Landscape Context ◽  
Context Dependency ◽  
Multi Criteria Decision Making ◽  
Management Options ◽  
Management Actions ◽  
Wide Range

AbstractIncreasing concerns over the environmental impacts of agriculture in Europe has led to the introduction of agri-environment schemes (AES) to help mitigate biodiversity loss. However, effectiveness of AES has been mixed and only partially successful in achieving desired outcomes. To improve effectiveness and reduce high costs, multi-criteria decision analysis (MCDA) can help support decision-making and determine the most effective management action. Although MCDA has great potential for evaluating policy measures, it rarely considers the context-dependency of species responses to management practices across different landscapes. Landscape simulations can, therefore, be valuable for reducing the uncertainties when predicting the consequences of management actions. A potential suitable simulation system is the Animal, Landscape, and Man Simulation System (ALMaSS), a mechanistic simulation with can improve MCDA with the automatic integration of a species ecology and behaviour and landscape context. The aim of this study was to demonstrate the effectiveness of ALMaSS in evaluating AES management practices across different landscapes and estimate their ability to achieve the proposed conservation outcomes of three typical species of conservation interest. In this study, the effect of a particular management strategy on a species was dependent on the landscape context, in our case, a combination of landscape structure and the type and distribution of farms, and varied depending on the metrics being measured. Although we did not aim to make recommendations of particular management strategies, we demonstrate how simulations can be used for MCDA to select between management strategies with different costs. Despite the complexity of ALMaSS models, the simulation results provided are easy to interpret. Landscape simulations, such as ALMaSS, can be an important tool in multi-criteria decision making by simulating a wide range of managements and contexts and provide supporting information for filtering management options based on specific conservation goals.

scholarly journals АДАПТИВНИЙ МОНІТОРИНГ СТРАТЕГІЙ ФОРМУВАННЯ АНТИКРИЗОВОГО ПОТЕНЦІАЛУ

2019 ◽  
Vol 131 (1) ◽  
pp. 39-48
Author(s):  
Сергій Олегович Ареф’єв
Keyword(s):  
Adaptive Management ◽  
Environmental Sustainability ◽  
Management Practices ◽  
Raw Materials ◽  
Management Strategies ◽  
Utilization Efficiency ◽  
Corporate Structure ◽  
Local Case ◽  
Adaptive Monitoring ◽  
Wide Range

The paper covers the current issues of counteraction to constantly arising crisis phenomena in the process of using the enterprise potential. For about 15 years the efforts to comply with legislation have been steadily rising, and more and more emphasis is paid to various aspects of corporate social responsibility. There is a wide range of activities, such as increasing employee awareness, creating a management system to prevent abrupt changeover, a solid corporate structure and timely disclosure of information, as well as managing the organization as an integration of its potentials. Adaptive monitoring is viewed as a critical component in finding and controlling the reserves for further utilization of enterprise resources in the context of developing its long-term strategies. Building the subsystems for change management strategies can form the basis for creating anti-crisis potential. However, there is another barrier to the process of adaptation which is a vulnerable internal environment. Apparently, the goals of the chosen strategies in each of the business areas are not always announced, and this can increase the entropy level within the enterprise, creating threats and hazards that give rise to crisis phenomena. From a dynamic perception, adaptive management concept involves the construction of a decomposition of its possible implementation scenarios subject to the type of threats to enterprise performance and characteristics of its potentials. The search for the development models that can retain the enterprise resources is a fundamental challenge for its operation in the future. It is about facilitating the transition from product economy to the system economy, from a dissipative approach to resources to an adaptive management practices, to a cultural leap towards economic and environmental sustainability that should affect the entire society, from strengthening of the territory and cooperation among all stakeholders to gain the resource utilization efficiency beyond renewable energy, starting with raw materials and local waste management to create an integrated technology network and from a number of integrated technologies, from deindustrialized territories reconstruction towards new relationships between agriculture, industry and academia, conducting local case studies to test the effects of innovations, thus boosting the process of transforming the research results into new pilot projects.

scholarly journals National-Scale Landslide Susceptibility Mapping in Austria Using Fuzzy Best-Worst Multi-Criteria Decision-Making

2020 ◽  
Vol 9 (6) ◽  
pp. 393 ◽  
Author(s):  
Meisam Moharrami ◽  
Amin Naboureh ◽  
Thimmaiah Gudiyangada Nachappa ◽  
Omid Ghorbanzadeh ◽  
Xudong Guan ◽  
...  
Keyword(s):  
Decision Making ◽  
Landslide Susceptibility ◽  
National Level ◽  
Susceptibility Mapping ◽  
Landslide Susceptibility Mapping ◽  
Slope Aspect ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Mountainous Regions ◽  
Wide Range

Landslides are one of the most detrimental geological disasters that intimidate human lives along with severe damages to infrastructures and they mostly occur in the mountainous regions across the globe. Landslide susceptibility mapping (LSM) serves as a key step in assessing potential areas that are prone to landslides and could have an impact on decreasing the possible damages. The application of the fuzzy best-worst multi-criteria decision-making (FBWM) method was applied for LSM in Austria. Further, the role of employing a few numbers of pairwise comparisons on LSM was investigated by comparing the FBWM and Fuzzy Analytical Hierarchical Process (FAHP). For this study, a wide range of data was sourced from the Geological Survey of Austria, the Austrian Land Information System, Humanitarian OpenStreetMap Team, and remotely sensed data were collected. We used nine conditioning factors that were based on the previous studies and geomorphological characteristics of Austria, such as elevation, slope, slope aspect, lithology, rainfall, land cover, distance to drainage, distance to roads, and distance to faults. Based on the evaluation of experts, the slope conditioning factor was chosen as the best criterion (highest impact on LSM) and the distance to roads was considered as the worst criterion (lowest impact on LSM). LSM was generated for the region based on the best and worst criterion. The findings show the robustness of FBWM in landslide susceptibility mapping. Additionally, using fewer pairwise comparisons revealed that the FBWM can obtain higher accuracy as compared to FAHP. The finding of this research can help authorities and decision-makers to provide effective strategies and plans for landslide prevention and mitigation at the national level.

scholarly journals Essential information: Uncertainty and optimal control of Ebola outbreaks

2017 ◽  
Vol 114 (22) ◽  
pp. 5659-5664 ◽  
Author(s):  
Shou-Li Li ◽  
Ottar N. Bjørnstad ◽  
Matthew J. Ferrari ◽  
Riley Mummah ◽  
Michael C. Runge ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Uncertainty ◽  
Management Options ◽  
Essential Information ◽  
Epidemiological Modeling ◽  
Optimal Intervention ◽  
Wide Range ◽  
Multiple Alternative ◽  
Community Transmission ◽  
Options Value

Early resolution of uncertainty during an epidemic outbreak can lead to rapid and efficient decision making, provided that the uncertainty affects prioritization of actions. The wide range in caseload projections for the 2014 Ebola outbreak caused great concern and debate about the utility of models. By coding and running 37 published Ebola models with five candidate interventions, we found that, despite this large variation in caseload projection, the ranking of management options was relatively consistent. Reducing funeral transmission and reducing community transmission were generally ranked as the two best options. Value of information (VoI) analyses show that caseloads could be reduced by 11% by resolving all model-specific uncertainties, with information about model structure accounting for 82% of this reduction and uncertainty about caseload only accounting for 12%. Our study shows that the uncertainty that is of most interest epidemiologically may not be the same as the uncertainty that is most relevant for management. If the goal is to improve management outcomes, then the focus of study should be to identify and resolve those uncertainties that most hinder the choice of an optimal intervention. Our study further shows that simplifying multiple alternative models into a smaller number of relevant groups (here, with shared structure) could streamline the decision-making process and may allow for a better integration of epidemiological modeling and decision making for policy.

DETERMINING THE AREA SIZES OF EACH PRODUCT CATEGORY IN A DEPARTMENT STORE USING MULTI-CRITERIA DECISION MAKING METHODOLOGIES

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Gulcin Dinc Yalcin ◽  
Zehra Kamisli Ozturk
Keyword(s):  
Decision Making ◽  
Product Category ◽  
Department Store ◽  
Analytic Network Process ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Department Stores ◽  
Ahp Model ◽  
Product Categories ◽  
Wide Range

In a department store, customers have the opportunity to reach a wide range of consumer goods from different product categories within a single store area. Store layouts generally show the size and location of each department, any permanent structures, fixture locations, and customer traffic patterns. Determining the area sizes to be allocated to each product category and the layout of these areas in the department store is a strategic planning decision problem. The layout problem has been studied in the literature with different approaches where the sizes of the areas are known. The first purpose of this paper is to determine the area sizes of each product category.   Customers decide to go to a department store for several reasons including the quality of products, services, location, etc. These reasons have been studied in the literature. However, “for which product categories do customers decide to go to a department store” is an open question. The second purpose of this paper is to find the frequency of product categories from the viewpoint of the customers. Therefore, our aim is to obtain the required results in a systematic way with multi-criteria decision making methodologies. For this purpose, we perform the Analytic Network Process (ANP) and the Analytic Hierarchy Process (AHP) from the viewpoints of department managers and customers, respectively.   In the ANP model, several tangible and intangible criteria such as product costs, the demands of customers, sales history, overall inventory, floor space and relationship with suppliers are chosen, and the intersections between them are specified. Pairwise comparisons are made by department store managers. The ANP outcome is the weight of each product category, and these weights are considered the percentage of the area size within the store from the viewpoint of the department stores. In the AHP model, a simple model is constructed to define the customers’ preference for each product category. Pairwise comparisons between product categories are made by the customers. Therefore, the outcome of the AHP model is the weight of each product category, and this is the preference of each product category from the viewpoint of the customers. The outcomes show that these weights may be different. This is an expected situation since even if a product category is preferred by some as the driver to visit a department store, the footprint of that category in the actual store may be small. The outcome from customers provides feedback to department store managers on which product category should be diversified as well as the area sizes of those categories.

‘Cancer doesn’t have an age’: Genetic testing and cancer risk management in BRCA1/2 mutation-positive women aged 18–24

2012 ◽  
Vol 16 (6) ◽  
pp. 636-654 ◽  
Author(s):  
Allison Werner-Lin ◽  
Lindsey M. Hoskins ◽  
Maya H. Doyle ◽  
Mark H. Greene
Keyword(s):  
Ovarian Cancer ◽  
Genetic Testing ◽  
Cancer Risk ◽  
Management Strategies ◽  
Primary Source ◽  
Evidence Based ◽  
Patient Privacy ◽  
Management Options ◽  
Wide Range ◽  
Risk Reducing

Increasingly, 18–24-year-old women from hereditary breast/ovarian cancer (HBOC) families are pursuing genetic testing, despite their low absolute risks of breast and ovarian cancer and the fact that evidence-based management options used with older high-risk women are not generally available. Difficult clinical decisions in older carriers take on substantially more complexity and value-laden import in very young carriers. As a result, many of the latter receive highly personal and emotionally charged cancer risk information in a life context where management strategies are not well defined. We analyzed 32 in-depth interviews with BRCA1/2 mutation-positive women aged 18–24 using techniques of grounded theory and interpretive description. Participants described feeling vulnerable to a cancer diagnosis but in a quandary regarding their care because evidence-based approaches to management have not been developed and clinical trials have not been undertaken. Our participants demonstrated a wide range of genetic and health literacy. Inconsistent recommendations, surveillance fatigue, and the unpredictability of their having health insurance coverage for surgical risk-reducing procedures led several to contemplate risk-reducing mastectomy before age 25. Parents remained a primary source of emotional and financial support, slowing age-appropriate independence and complicating patient privacy. Our findings suggest that, for 18–24-year-olds, readiness to autonomously elect genetic testing, to fully understand and act on genetic information, and to confidently make decisions with life-long implications are all evolving processes. We comment on the tensions between informed consent, privacy, and the unique developmental needs of BRCA1/2 mutation-positive women just emerging into their adult years.

scholarly journals Multi-criteria decision-making for flood risk management: a survey of the current state of the art

2016 ◽  
Vol 16 (4) ◽  
pp. 1019-1033 ◽  
Author(s):  
Mariana Madruga de Brito ◽  
Mariele Evers
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Wide Range ◽  
Order Preference ◽  
Criteria Weights ◽  
Simple Additive Weighting

Abstract. This paper provides a review of multi-criteria decision-making  (MCDM) applications to flood risk management, seeking to highlight trends and identify research gaps. A total of 128 peer-reviewed papers published from 1995 to June 2015 were systematically analysed. Results showed that the number of flood MCDM publications has exponentially grown during this period, with over 82 % of all papers published since 2009. A wide range of applications were identified, with most papers focusing on ranking alternatives for flood mitigation, followed by risk, hazard, and vulnerability assessment. The analytical hierarchy process (AHP) was the most popular method, followed by Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), and Simple Additive Weighting (SAW). Although there is greater interest in MCDM, uncertainty analysis remains an issue and was seldom applied in flood-related studies. In addition, participation of multiple stakeholders has been generally fragmented, focusing on particular stages of the decision-making process, especially on the definition of criteria weights. Therefore, addressing the uncertainties around stakeholders' judgments and endorsing an active participation in all steps of the decision-making process should be explored in future applications. This could help to increase the quality of decisions and the implementation of chosen measures.

PEAT FIRE MAPPING USING GIS BASED MULTI-CRITERIA DECISION MAKING: STUDY AREA OF KUALA LANGAT, SELANGOR

2019 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Ainon Nisa Othman ◽  
Hazrul Nizam Ismail ◽  
Nafisah Khalid ◽  
Maisarah Abdul Halim, ◽  
Noorain Mohamad Saraf
Keyword(s):  
Decision Making ◽  
Forest Fire ◽  
Ph Value ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Contributing Factors ◽  
Factors Affecting ◽  
Wide Range ◽  
Peat Fire ◽  
Potential Area

Peat fire is a geological disaster that causes damages to nature, human activities and environment. It is a geological phenomenon that involves a wide range of forest fire, vegetation burnt surface and smouldering fire underground. Besides that, there are other contributing factors affecting the peat fire and can lead to the forest fire disaster. In this study, GIS and MCDM Technique were used as a tool to generate the prediction of peat fire potential area map at Kuala Langat, Selangor. All the input is then being analyse in ArcGIS software. Many criteria may contribute to the peat forest fire incident such as land use, temperature, pH value, and soil type criteria. The main benefit for analysing the potential area is the possibility to prevent and predict peat fire occurrences in future other than as a precaution step to face the problems. Keywords: Peat Fire, Geographical Information System, Multi-Criteria Decision Making, Prediction Peat Fire, Kuala Langat District

A new trust management framework based on the experience of users in industrial cloud computing using multi-criteria decision making

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liudmila Ivanovna Khoruzhy ◽  
Roman Petrovich Bulyga ◽  
Olga Yuryevna Voronkova ◽  
Lidia Vladimirovna Vasyutkina ◽  
Natalya Ryafikovna Saenko ◽  
...  
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Trust Management ◽  
Service Providers ◽  
Cloud Services ◽  
Security And Privacy ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Wide Range ◽  
Industrial Cloud

PurposeNowadays, cloud platforms are used in many fields, including e-commerce, web applications, data storage, healthcare, gaming, mobile social networks, etc. However, security and privacy are still two significant concerns in this area. The target of this paper is to present a system for trust management in industrial cloud computing using the multi-criteria decision making (MCDM) approach. MCDM techniques have been developed to accommodate a wide range of applications. As a result, hundreds of approaches have been generated with even minor variations on current approaches spawning new study fields.Design/methodology/approachCloud computing provides a fully scalable, accessible and flexible computing platform for various applications. Due to the multiple applications that cloud computing has found in numerous life features, users and providers have considered providing security in cloud communications. Due to its distributive nature, dynamic space and lack of transparency in performing cloud computing, it faces many challenges in providing security. For security improvement, trust management can play a very influential role. This paper proposes a generic analytical methodology that uses a series of assessment criteria to evaluate current trust management testing prototypes in industrial cloud computing and related fields. The authors utilize a MCDM approach in the present article. Due to the multi-dimensionality of the sustainability objective and the complexities of socio-economic and biophysical processes, MCDM approaches have become progressively common in decision-making for sustainable energy.FindingsThe results of comparing and evaluating the performance of this model show its ability to manage trust and the ability to adapt to changes in the behavior of service providers quickly. Using a simulation, all results are confirmed. The results of simulations and evaluation of the present paper indicate that the proposed model provides a more accurate evaluation of the credibility of cloud service providers than other models.Practical implicationsThe number of cloud services and customers is vast and extremely competitive in cloud environments, where novel cloud services and customers can join at any time, while others can withdraw whenever they want. Because of cloud services' highly dynamic and dispersed design, trust management mechanisms must be highly flexible to obtain feedback and update trust outcomes as quickly as possible. The model presented in this article tries to improve users' trust in the cloud industry.Originality/valueUsing a method (MCDM) to find the best trust management solution based on user experience in industrial cloud computing is the novelty of this paper.

Multi-criteria decision-making toward supplier selection: exploration of PROMETHEE II method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nishant Agrawal
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Supply Chain ◽  
Case Studies ◽  
Supplier Selection ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Promethee Ii ◽  
Wide Range ◽  
Managerial Implications

PurposeSupplier Selection (SS) is one of the vital decisions frequently executed by numerous industries. In recent times, the number of suppliers has increased enormously depending on a wide range of criteria. A selection of suppliers is a sensitive process that may impact various supply chain activities. The purpose of this research is to explore an underutilized technique called PROMETHEE II method for SS.Design/methodology/approachVarious tools and techniques are available under multi-criteria decision-making tools, which sometimes creates confusion in researchers' minds regarding reliability. PROMETHEE II was the most prominent method for ranking all available alternatives that ultimately avoid decision-making errors. To execute this equal and unequal weights approach has been used with three case studies.FindingsIn this research, three case studies have been used and soved with the help of the PROMETHEE II approach. The study also provides fundamental insights into the supplier's ranking on different criteria using sensitivity analysis. Further, criteria were divided as per benefits and non-beneficial to get a robust result. The pros and cons of PROMETHEE II approaches are also highlighted compared to other MCDM tools in this study.Originality/valueMost of the SS research uses either AHP or TOPSIS as per existing literature. There are very few attempts highlighted in the literature that use PROMETHEE II for the SS problem with sensitivity analysis. The proposed method is probable to motivate decision-makers to consider using a more sophisticated method like PROMETHEE II in supplier evaluation processes. This study opens a new direction for the ranking of suppliers in the field of the supply chain. The study also bears significant practical as well as managerial implications.

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