Clusters in a group: Decision making in the vector space formulation of the analytic hierarchy process

Zahir, Sajjad

doi:10.1016/s0377-2217(98)00021-6

Cited by 106 publications

(51 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Simultaneously, several studies on LGDM support systems can be found. Thus, the related literatures can be grouped into four categories, i.e., cluster methods in LGDM [6][7][8][9], CRP in LGDM [10,11], LGDM methods [12][13][14][15][16] and LGDM support systems [17][18][19][20]. A detailed review of the related work is given in Section 2.…”

Section: Introductionmentioning

confidence: 99%

A method for large group decision-making based on evaluation information provided by participators from multiple groups

Liu

Fan

Zhang³

2016

Information Fusion

143

View full text Add to dashboard Cite

a b s t r a c tLarge group decision-making (LGDM) is a special group decision-making (GDM) problem, in which a large number of persons take part in decision process, while research concerning this issue is still relatively scarce. The objective of this paper is to develop a method to solve the LGDM problem, in which a large number of persons from multiple groups take part in the decision process and express their personal evaluations on the alternatives according to the pre-established identifier set. In the method, the percentage distribution on evaluations of each group concerning each alternative is determined. The decision weight of each group concerning each alternative is obtained by aggregating the subjective weight, which is provided by the organizer, and the objective weight, determined according to the level of consensus among participators' evaluations. According to the percentage distributions and decision weights, the dominance degrees on pairwise comparisons of alternatives are calculated, and a ranking of alternatives can be determined using the PROMETHEE II method. Finally, an example is given to illustrate the use of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%

A method for large group decision-making based on evaluation information provided by participators from multiple groups

Liu

Fan

Zhang³

2016

Information Fusion

143

View full text Add to dashboard Cite

show abstract

“…where v i and v j are vectors comprising the square root of the objective weights of individuals i and j; indicates the dot product of the two vectors, and 〈〉 indicates the average of the set of dot products (Zahir, 1999a). The coherence measure, r, represents the average angle between the individual vectors (cosq ¼ r i,j ¼ v i v j for a pair of individuals), such that cos0 ¼ 1 implies identical preferences and cos90 ¼ 0 implies orthogonal preferences.…”

Section: Prioritising Objectivesmentioning

confidence: 99%

Social objectives of fisheries management: What are managers' priorities?

Pascoe

Brooks²,

Cannard

et al. 2014

Ocean & Coastal Management

View full text Add to dashboard Cite

a b s t r a c tIncreasingly, social considerations are having an influence on fisheries policy as well as day-to-day management decision making. Social objectives, unlike economic or conservation objectives, are often poorly defined in fisheries policy, providing substantial leeway for managers to develop management plans in response to the perceived importance of different social outcomes, and potential inconsistencies between different fisheries and jurisdictions. In this paper, through a literature review and workshop with managers across different Australian jurisdictions, we develop a set of social objectives that may be applicable in Australian fisheries. We assess the importance of these different objectives using the Analytic Hierarchy Process, and find considerable diversity in opinion as to which social objectives fisheries management should prioritise to achieve. This diversity of opinion is not directly related to jurisdiction, but does seem related to the context and social environment in which fisheries managers are operating.Crown

show abstract

“…where v i and v j are vectors comprising the square root of the objective weights of individuals i and j; indicates the dot product of the two vectors, and / S indicates the average of the set of dot products [30]. The coherence measure, r, represents the average angle between the individual vectors (cosy ¼ r i,j ¼ v i v j for a pair of individuals), such that cos01 ¼1 implies identical preferences and cos901¼ 0 implies orthogonal preferences.…”

Section: Group Coherencementioning

confidence: 99%

Management objectives of Queensland fisheries: Putting the horse before the cart

Pascoe

Dichmont

Brooks³

et al. 2013

Marine Policy

View full text Add to dashboard Cite

a b s t r a c tA review of future management arrangements for the Queensland East Coast Trawl fishery was undertaken in 2010 to develop a management plan for the next 10 years. A key question raised at the start of the review process was: what should the management plan achieve? As with fisheries management in most countries, multiple management objectives were implicit in policy statements, but were poorly specified in some areas (particularly social objectives) and strongly identified in others (e.g., an objective of sustainability). As a start to the management review process, an analysis of what objectives the management system should aim to achieve was undertaken. A review of natural resource management objectives employed internationally was used to develop a candidate list, and the objectives most relevant to the fishery were short-listed by a scientific advisory group. Additional objectives specific to Queensland fisheries management, but not identified in the international review, were also identified and incorporated into the objective set. The relative importance of the different objectives to different stakeholder groups was assessed using the Analytic Hierarchy Process. As with other studies, the relative importance of the different objectives varied both within and between the different stakeholder groups, although general trends in preferences were observed.Crown

show abstract

Clusters in a group: Decision making in the vector space formulation of the analytic hierarchy process

Cited by 106 publications

References 5 publications

A method for large group decision-making based on evaluation information provided by participators from multiple groups

A method for large group decision-making based on evaluation information provided by participators from multiple groups

Social objectives of fisheries management: What are managers' priorities?

Management objectives of Queensland fisheries: Putting the horse before the cart

Contact Info

Product

Resources

About