Incorporation of preferential uncertainty into interval-scale priority functions — a case of multicriteria forestry decision making

2009 ◽  
Vol 39 (8) ◽  
pp. 1498-1506 ◽  
Author(s):  
Pekka Leskinen ◽  
Jouni Pykäläinen ◽  
Arto Haara

Quantitative decision analysis and respective planning models offer many benefits in forest planning. They are efficient, quick, inexpensive, objective, and repeatable. However, quantitative planning and the respective planning models also include many sources of uncertainty. In this paper our research objective is to analyse decision makers’ preferential uncertainty in the context of multicriteria forestry decision making by using statistical models for so-called interval-scale continuous decision problems. The models are based on 0–1-type utility functions by applying a Finnish school grading system for collecting the preference data. The basic idea is to assess the preferences at some discrete points and then estimate the continuous priority function according to the statistical estimation techniques. An interactive approach for reducing the preferential uncertainty included in the priority model is also developed. In the interactive step, the improvements of the priority model are based on uncertainty measures related to local and (or) global priority models. The role of statistical uncertainty analysis is to make the interactive planning process more efficient and reliable. The interactive and statistical approaches complement each other and promote decision makers’ learning.

Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.


Author(s):  
Sumana - Jayaprakash ◽  
Vimala Swamy

Public participation in the decision-making process in Urban Interventions is the key to the success of the project for improving the quality of life of its citizens. The citizen has the democratic right to express his needs and aspiration; he is the final user who experiences the outcomes of the policy decisions. Non involvement of the citizens in the planning process can bring about the misinterpretation of the intention of political leadership and lead to opposition and protest. The inadequate understanding of citizens of the urban context makes public participation ineffective. In this context, the decision-makers are often faced with the challenges of the level of confidence of the citizens about their ideas and responses being incorporated in the project and the confidence of the citizens in the local urban authority in its ability to carry out the project. However, the decision-makers base their decision on the assumption that the citizens have a general understanding of the urban issues. This research work investigates the basis of this assumption. 1. Do the citizens have confidence that the local urban authority considers their choices and responses in the course of decision making 2. Do the citizens have the confidence that the local urban authority can undertake the Urban Regeneration project 3. Whether in the decision-making process of urban regeneration intervention, citizen's responses are backed by a general understanding of urban issues. The case study taken up is of Hassan city. Five areas of crucial importance have been selected based on the development plan report of the city. The integrated approach aims to find the most appropriate area for proposing the Urban Regeneration project. The framework adopted includes 1. Questionnaire survey: to collect citizens’ responses 2. Analysis of variance (ANNOVA) for analysis of the data collected.


1972 ◽  
Vol 66 (1) ◽  
pp. 38-52 ◽  
Author(s):  
B. Michael Frolic

How are decisions made in Soviet cities? Who are the municipal decision makers? What kinds of decisions do they make? Is there a Soviet urban political system? This article attempts to answer these questions by focusing on four aspects of decision making in Soviet cities: budget formulation, the planning process, housing construction and allocation, and the staffing of key municipal posts.Urban autonomy has increased in the past decade, but Soviet municipalities are very much restricted in their decision making. Superior Party and governmental authorities continue to dominate the decision-making process and any decision made by municipal authorities can be vetoed by superior Party and governmental organs.Soviet municipal decision making is now being influenced by three tendencies: municipal administrators are acquiring more influence in municipal government and administration; the educational qualifications and professional expertise of city Party members are rising; ad hoc citizen and group interest articulation may be developing. Comparisons between Soviet and North American urban decision-making models are useful and valid, although they require an improved methodology and much more Soviet data.


Author(s):  
Blánaid Daly ◽  
Paul Batchelor ◽  
Elizabeth Treasure ◽  
Richard Watt

Planning is an integral part of dental care provision that can operate at many different levels. At a national level, government NHS policy impacts upon dental services in different ways. For example, in the General Dental Service, patient charge bands in England are currently set by the government. In the future, at the national level, the National Health Service Commissioning Board (NHSCB) will determine national policy and national delivery requirements. The NHSCB will be responsible for commissioning primary dental services and contractual arrangements with dentists. At the Health and Wellbeing Board (HWB) level in England, planners (in conjunction with general medical practioner (GMP) consortia/clinical care commissioning groups (CCGs)) will make decisions over the priorities for local services, and the types and range of services offered locally. Within a dental practice, dental practitioners and their team members may develop a range of practice policies aimed at improving the services provided. Finally, every day clinicians develop treatment plans for individual patient care based upon their oral health needs. All these activities are planning in action. This chapter will examine the basic principles of planning, and review the different steps in the planning process. At the most basic level, planning aims to guide choices so that decisions are made in the best manner to reach the desired outcomes. Planning provides a guide and structure to the process of decision-making to maximize results within the limited resources available. Is planning really necessary when there are so many other demands on practitioners’ time? Planning can be justified for the following reasons: . . . ● It provides an opportunity to be proactive in decision-making rather than constantly reacting to pressures and demands. . . . . . . ● It enables priorities to be set. . . . . . . ● It identifies where resources can be directed to have the greatest impact. . . . Various planning models have been proposed to act as a guide to the different steps in the planning process. The rational planning model provides a basic guide to the process (McCarthy 1982), and involves the following steps: . . . 1 Assessment of need: e.g. identification of the oral health problems and concerns of the population. . . . . . . 2 Identifying priorities: agreeing the target areas for action. . . .


2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao

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.


2019 ◽  
Author(s):  
Suci Handayani Handayani ◽  
Hade Afriansyah

Decision making is one element of economic value, especially in the era of globalization, and if it is not acceptable in the decision making process, we will be left behind. According to Robins, (2003: 173), Salusu, (2000: 47), and Razik and Swanson, (1995: 476) say that decision making can be interpreted as a process of choosing a number of alternatives, how to act in accordance with concepts, or rules in solving problems to achieve individual or group goals that have been formulated using a number of specific techniques, approaches and methods and achieve optimal levels of acceptance.Decision making in organizations whether a decision is made for a person or group, the nature of the decision is often determined by rules, policies, prescribed, instructions that have been derived or practices that apply. To understand decision making within the organization it is useful to view decision making as part of the overall administrative process. In general, individuals tend to use simple strategies, even if in any complex matter, to get the desired solution, because the solution is limited by imperfect information, time and costs, limited thinking and psychological stress experienced by decision makers.


2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.


Global health is at a crossroads. The 2030 Agenda for Sustainable Development has come with ambitious targets for health and health services worldwide. To reach these targets, many more billions of dollars need to be spent on health. However, development assistance for health has plateaued and domestic funding on health in most countries is growing at rates too low to close the financing gap. National and international decision-makers face tough choices about how scarce health care resources should be spent. Should additional funds be spent on primary prevention of stroke, treating childhood cancer, or expanding treatment for HIV/AIDS? Should health coverage decisions take into account the effects of illness on productivity, household finances, and children’s educational attainment, or should they just focus on health outcomes? Does age matter for priority-setting or should it be ignored? Are health gains far in the future less important than gains in the present? Should higher priority be given to people who are sicker or poorer? This book provides a framework for how to think about evidence-based priority-setting in health. Over 18 chapters, ethicists, philosophers, economists, policymakers, and clinicians from around the world assess the state of current practice in national and global priority-setting, describe new tools and methodologies to address establishing global health priorities, and tackle the most important ethical questions that decision-makers must consider in allocating health resources.


Author(s):  
Thomas C. Guiney

The chapter examines the legislative planning process that gradually refined the early release framework eventually given legal effect by Part Two of the Criminal Justice Act 1991. The chapter begins with a review of the post-election planning process that gathered pace following the 1987 General Election. It examines the Home Office strategic awayday held at Leeds Castle in September 1987 and goes on to consider the Green Paper, Punishment, Custody and the Community and an unprecedented conference at Ditchley Park which brought together senior decision-makers from across the criminal justice system. The chapter then examines the passage of the Criminal Justice Bill 1990/91 and reflects upon the dramatic backlash against the new parole system in the mid-1990s. The chapter concludes with a critical appraisal of the underlying tensions that defined the development of criminal justice during this transitional period.


Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 124
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Florentin Smarandache ◽  
...  

Some decision-making problems, i.e., multi-criteria decision analysis (MCDA) problems, require taking into account the attitudes of a large number of decision-makers and/or respondents. Therefore, an approach to the transformation of crisp ratings, collected from respondents, in grey interval numbers form based on the median of collected scores, i.e., ratings, is considered in this article. In this way, the simplicity of collecting respondents’ attitudes using crisp values, i.e., by applying some form of Likert scale, is combined with the advantages that can be achieved by using grey interval numbers. In this way, a grey extension of MCDA methods is obtained. The application of the proposed approach was considered in the example of evaluating the websites of tourism organizations by using several MCDA methods. Additionally, an analysis of the application of the proposed approach in the case of a large number of respondents, done in Python, is presented. The advantages of the proposed method, as well as its possible limitations, are summarized.


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