Rank Preservation and Reversal in Decision Making

There are numerous real life examples done by many people which show that the alternatives of a decision sometimes can reverse their original rank order when new alternatives are added or old ones deleted and without bringing in new criteria. There is no mathematical theorem which proves that rank must always be preserved and there cannot be because of real life and hypothetical counter examples in decision making methods. Rank preservation came to be accepted as the standard because of techniques that could only rate alternatives one at a time treating them as independent. Thus an alternative receives a score and it will not change when other alternatives are added or deleted. All methods that only rate alternatives one at a time, thus always preserving rank, may not lead to the right decision; even if they may be right in certain areas of application. In reality, to determine how good an alternative is on an intangible criterion needs experience and knowledge about other alternatives and hence in their evaluation, the alternatives cannot be completely considered as independent of one another

The sweet spot in sustainability: a framework for corporate assessment in sugar manufacturing

The assessment of corporate sustainability has become an increasingly important topic, both within academia and in industry. For manufacturing companies to conform to their commitments to sustainable development, a standard and reliable measurement framework is required. There is, however, a lack of sector-specific and empirical research in many areas, including the sugar industry. This paper presents an empirically developed framework for the assessment of corporate sustainability within the Thai sugar industry. Multiple case studies were conducted, and a survey using questionnaires was also employed to enhance the power of generalisation. The developed framework is an accurate and reliable measurement instrument of corporate sustainability, and guidelines to assess qualitative criteria are put forward. The proposed framework can be used for a company’s self-assessment and for guiding practitioners in performance improvement and policy decision-maki

UTILIZAÇÃO DE SIG E ANÁLISE MULTICRITÉRIO PARA SELEÇÃO DE ÁREAS COM POTENCIAL PARA A CONSTRUÇÃO DE UNIVERSIDADES E LOTEAMENTOS UNIVERSITÁRIOS

Resumo:A integração de sistemas de informação geográfica com os métodos de decisão multicritério, vem proporcionando inúmeros benefícios para a resolução de problemas de planejamento urbano. Nesse sentido este trabalho apresenta a metodologia utilizada na avaliação e seleção de áreas para a implantação de uma universidade e de um loteamento universitário no município de Patos de Minas - MG. Foram encontrados um local para o loteamento com área de 25,83 ha, e um para a universidade com uma área de 31,47 ha, ambos com risco médio e alta compensação. Os resultados obtidos revelam que o uso da ferramenta SIG associada a análise multicritério são eficientes na escolha de locais para a implantação de empreendimentos que causarão impactos no ambiente a ser instalad

Geovisual analytics for spatial decision support: Setting the research agenda

This article summarizes the results of the workshop on Visualization, Analytics & Spatial Decision Support, which took place at the GIScience conference in September 2006. The discussions at the workshop and analysis of the state of the art have revealed a need in concerted cross‐disciplinary efforts to achieve substantial progress in supporting space‐related decision making. The size and complexity of real‐life problems together with their ill‐defined nature call for a true synergy between the power of computational techniques and the human capabilities to analyze, envision, reason, and deliberate. Existing methods and tools are yet far from enabling this synergy. Appropriate methods can only appear as a result of a focused research based on the achievements in the fields of geovisualization and information visualization, human‐computer interaction, geographic information science, operations research, data mining and machine learning, decision science, cognitive science, and other disciplines. The name ‘Geovisual Analytics for Spatial Decision Support’ suggested for this new research direction emphasizes the importance of visualization and interactive visual interfaces and the link with the emerging research discipline of Visual Analytics. This article, as well as the whole special issue, is meant to attract the attention of scientists with relevant expertise and interests to the major challenges requiring multidisciplinary efforts and to promote the establishment of a dedicated research community where an appropriate range of competences is combined with an appropriate breadth of thinking

Як прийняти та обгрунтувати рішення: аналітично-ієрархічний процес (АІП). Частина I. Приклади та застосування

We describe and discuss a logical approach, the Analytic Hierarchy Process (AHP), that can be used to make decisions. It involves breaking the problem down into finer and finer parts so that one is called upon to give a judgment comparing only a pair of issues in each judgment.Описывается и обсуждается логический подход — аналитическо-иерархический процесс (АИП), который может применяться для принятия решений. Он состоит в делении проблемы на все более и более мелкие части до тех пор, пока каждое решение не сведется к сравнительной оценке двух альтернатив.Розглядається та обговорюється логічний підхід — аналітично-ієрархічний процес (АІП), який можна застосовувати до прийняття рішень. Він полягає в поділенні проблеми на все дрібніші і дрібніші частки, поки кожне рішення не буде зведено до порівняння двох альтернатив

Fundamentals of decision making

xiv, 522 hlm.;22x15c

Decision Making in Economic, Political, Social, and technological Environment

xiv, 330 hlm.; 22.7x15.4 c

Decision Making For Leaders

xi,291 hlm.; 23 c

Теорія аналітичинх ієрархічних процесів та аналітичні мережеві процеси — приклади. Частина 2.2

In this part we introduce the role of benefits, opportunities, costs and risks (BOCR) in decision- making and how to establish priorities for them. We give an example of a real life application of the US Congress acting on China joining the World Trade Organization (WTO) mailed to the US congressional committee before that decision. We then introduce and apply the Analytic Network Process and its concept of a supermatrix to make decisions with dependence and feedback and illustrate its application for a single "control" criterion of market share. This will be followed in Part 2.3 by a full BOCR application in the context of the ANP.В этой части вводится роль прибылей, возможностей, стоимостей и рисков (BOCR) в выработке решений. Показано, как установить для них приоритеты. Приводится направленный в комитет Конгресса США пример применения в реальной жизни методов в деятельности Конгресса США по поводу присоединения Китая ко Всемирной Организации Торговли (WTO) до принятия решения. Затем вводится и применяется Аналитический Сетевой Процесс (ANP) и его концепция суперматрицы для выработки решений в условиях зависимости и обратной связи. Иллюстрируется его применение для единственного "управляющего" критерия раздела рынка. Эта статья будет продолжена в части 2.3 рассмотрением применения BOCR в контексте ANP.У цій частині введено роль прибутків, можливостей, вартостей та ризиків (BOCR) у виробленні рішень. Показано, як визначити для них пріоритети. Наводиться поданий до комітету Конгресу США ще до прийняття ним рішення приклад застосування у реальному житті методів діяльності Конгресу США щодо приєднання Китаю до Всесвітньої Організації Торгівлі (WTO). Далі введено і застосовано Аналітичний Мережний Процес (ANP) і його концепцію суперматриці для вироблення рішень в умовах залежності і зворотнього зв’язку та проілюстровано його застосування для єдиного "керуючого" критерію розподілу ринку. Цю статтю буде продовжено у частині 2.3, де буде розглянуте застосуванням BOCR у контексті ANP