975 resultados para multi-attribute decision making


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A key component of many decision making processes is the aggregation step, whereby a set of numbers is summarised with a single representative value. This research showed that aggregation functions can provide a mathematical formalism to deal with issues like vagueness and uncertainty, which arise naturally in various decision contexts.

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The data analyses consumers' decision making processes in the telecommunications market. The dataset includes both autoethnographic videographies and experimental quantitative data.

The data comprises an extended autoethnographic methodology with 22 participants. Participants recorded video diaries, written diaries and extended interviews about their experiences looking for a mobile phone service. It also includes a quantitative experiment with 517 participants to examine, under close to real conditions, how consumers make decisions. This involved advertising and sales scenarios looking at the effect of bundling and limited time offers in advertising on consumer perceptions and purchase intentions; the effect of unit pricing and the presentation of terms and conditions information in advertising on consumer perceptions and purchase intentions; and the effect of information and the mode of its presentation in personal selling on consumers’ perceptions.

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Heather Wallace examines changes in attitudes to women in the Solomon Islands and Vanuatu. She discusses policy changes and the slow process of these filtering into practice leading to shifting attitudes towards women's decision-making role in the Solomon Islands and Vanuatu. Her focus is on the complex processes by which policy changes are translated into practice, and she looks at both non-governmental organizations and the government in addressing gender policy and in the implementation of programmes in Vanuatu and the Solomon Islands.

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Extensions of aggregation functions to Atanassov orthopairs (often referred to as intuitionistic fuzzy sets or AIFS) usually involve replacing the standard arithmetic operations with those defined for the membership and non-membership orthopairs. One problem with such constructions is that the usual choice of operations has led to formulas which do not generalize the aggregation of ordinary fuzzy sets (where the membership and non-membership values add to 1). Previous extensions of the weighted arithmetic mean and ordered weighted averaging operator also have the absorbent element 〈1,0〉, which becomes particularly problematic in the case of the Bonferroni mean, whose generalizations are useful for modeling mandatory requirements. As well as considering the consistency and interpretability of the operations used for their construction, we hold that it is also important for aggregation functions over higher order fuzzy sets to exhibit analogous behavior to their standard definitions. After highlighting the main drawbacks of existing Bonferroni means defined for Atanassov orthopairs and interval data, we present two alternative methods for extending the generalized Bonferroni mean. Both lead to functions with properties more consistent with the original Bonferroni mean, and which coincide in the case of ordinary fuzzy values.

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Mental health clinicians working in emergency crisis assessment teams or mental health triage roles are required to make rapid and accurate risk assessments. The assessment of violence risk at triage is particularly pertinent to the early identification and prevention of patient violence, and to enhancing the safety of clinical staff and the general public. To date, the evidence base for mental health triage violence risk assessment has been minimal. This study aimed to address this evidence gap by identifying best available evidence for mental health-related risk factors for patientinitiated violence.We conducted a systematic review based on the National Health and Medical Research Council of Australia’s methodology for systematic reviews. A total of 6847 studies were retrieved, of which 326 studies met the study inclusion criteria. Of these studies, 277 met inclusion criteria but failed the quality appraisal process, thus a total of 49 studies were included in the final review. The risk factors that achieved the highest evidence grading were predominantly related to dynamic clinical factors immediately observable in the patient’s general appearance, behaviour and speech. These factors included hostility/anger, agitation, thought disturbance, positive symptoms of schizophrenia, suspiciousness and irritability.

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Lesson #I. Good long-term monitoring makes for informed and confident decisions on land management.
Lesson #2. Monitoring showing species and habitat decline can directly lead to better protection mechanisms.
Lesson #3. Results of monitoring can be ignored, misused and misquoted to achieve political ends.
Lesson #4. Are we seeing a decline in systematic species surveys by government?
Lesson #5. We don't know enough about what monitoring is happening and why monitoring isn't happening.
Lesson #6. Disparate data sets and cumbersome collection methods are hindering species status monitoring.
Lesson #7. Make better use of existing resomces and expertise.
Lesson #8. Make monitoring data more accessible and enable it to be more repeatable.
Lesson #9. Embed the requirement for monitoring in biodiversity and threatened species legislation.
Lesson #10. Understand better the social elements of ecological monitoring

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Berkaul is a traditional practice associated with the rice cultivation cycle in West Sumatra, Indonesia, intended to seek consensus within the local community about agricultural practices and management of water for irrigation. Berkaul is deeply rooted in the adat and worldview of the region but is much less commonly practiced today than in the past and has disappeared in many parts of the region. This article describes the process of berkaul in Tanjung Emas, West Sumatra, places it within the context of Minangkabau adat and tradition, and considers its value in fostering participation, empowerment, and social inclusion in the context of rural development.