Analysis of Multiple Objectives in Oregon Coho Salmon Policy

1983 ◽  
Vol 40 (5) ◽  
pp. 580-587 ◽  
Author(s):  
K. D. Walker ◽  
R. B. Rettig ◽  
R. Hilborn
Keyword(s):  
Coho Salmon ◽  
Multiple Objectives ◽  
Decision Makers ◽  
Decision Variable ◽  
Utility Analysis ◽  
Harvest Rate ◽  
Effective Policy ◽  
Main Components ◽  
Multiattribute Utility Analysis ◽  
Selection Of

Our objective was to determine whether formal decision analysis could assist fishery managers in Oregon to evaluate alternative strategies with respect to allocation and production of wild and hatchery coho salmon. The method chosen given multiple objectives and uncertainty is multiattribute utility analysis. The analytical model consists of two main components: (1) a computer model that simulates the life cycle of hatchery and stream spawning coho salmon given environmental variation, different hatchery juvenile release levels, and harvest rates and (2) an objective function that evaluates the aggregate levels of catch and escapement resulting from alternative release levels and harvest rates. The approach was used to rank the expected outcomes from 12 proposed policies. We concluded that (1) the most effective policy is achieved with a relatively low harvest rate and high smolt release level, (2) selection of a particular harvest rate is the most important decision variable, and (3) a large smolt release level can be maintained unless such releases adversely decrease the ocean survival of stream spawning coho. If the agency is to be significantly helped, the analysis must be expanded to involve a larger number of decision makers, incorporate additional objectives such as catch variability, and include a finer level of detail in the simulation model.

Collaborative Decision Making: Using Multiattribute Utility Analysis to Involve Stakeholders in Resolution of Controversial Transportation Issues

1997 ◽  
Vol 1606 (1) ◽  
pp. 142-148 ◽  
Author(s):  
Marcy Schwartz ◽  
Constance Eichhorn
Keyword(s):  
Public Involvement ◽  
Decision Makers ◽  
Controversial Issues ◽  
Multiattribute Utility ◽  
Utility Analysis ◽  
Collaborative Process ◽  
The Public ◽  
Common Criteria ◽  
Multiattribute Utility Analysis ◽  
Collaborative Decision

Instead of comparing a broad range of alternatives against common criteria, traditional transportation alternatives analysis methods tend to pit supporters of one alternative against those of another. As a result, public involvement processes intended to help resolve controversial issues often polarize the public and force decision makers to side with one position or another. However, a simple form of multiattribute utility analysis (MUA) has proved very effective in involving stakeholders in a collaborative process. This type of analysis is relatively inexpensive to execute, fosters problem solving, and has a high probability of leading to a defensible, implementable decision. This modified MUA approach has been applied to two California freeway-access projects.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

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.

scholarly journals Designing Strong Privacy Metrics Suites Using Evolutionary Optimization

2021 ◽  
Vol 24 (2) ◽  
pp. 1-35
Author(s):  
Isabel Wagner ◽  
Iryna Yevseyeva
Keyword(s):  
Optimization Problem ◽  
Evolutionary Optimization ◽  
Multiple Objectives ◽  
Shared Value ◽  
Vehicular Communications ◽  
Open Problems ◽  
Value Range ◽  
Genomic Privacy ◽  
Metaheuristic Optimization Algorithms ◽  
Selection Of

The ability to measure privacy accurately and consistently is key in the development of new privacy protections. However, recent studies have uncovered weaknesses in existing privacy metrics, as well as weaknesses caused by the use of only a single privacy metric. Metrics suites, or combinations of privacy metrics, are a promising mechanism to alleviate these weaknesses, if we can solve two open problems: which metrics should be combined and how. In this article, we tackle the first problem, i.e., the selection of metrics for strong metrics suites, by formulating it as a knapsack optimization problem with both single and multiple objectives. Because solving this problem exactly is difficult due to the large number of combinations and many qualities/objectives that need to be evaluated for each metrics suite, we apply 16 existing evolutionary and metaheuristic optimization algorithms. We solve the optimization problem for three privacy application domains: genomic privacy, graph privacy, and vehicular communications privacy. We find that the resulting metrics suites have better properties, i.e., higher monotonicity, diversity, evenness, and shared value range, than previously proposed metrics suites.

Subjective Design Evaluation With Multiple Attributes

1990 ◽  
Author(s):  
Deborah L. Thurston
Keyword(s):  
Automotive Industry ◽  
The United States ◽  
Quantitative Information ◽  
Design Decision ◽  
Utility Analysis ◽  
Materials Selection ◽  
Design Alternatives ◽  
Multiattribute Utility Analysis ◽  
Alternative Designs

Abstract A formal methodology is presented which may be used to evaluate design alternatives in the iterative design/redesign process. Deterministic multiattribute utility analysis is used to compare the overall utility or value of alternative designs as a function of the levels of several performance characteristics of a manufactured system. The evaluation function reflects the designers subjective preferences. Sensitivity analysis provides quantitative information as to how a design should be modified in order to increase its utility to the design decision maker. Improvements in one or more areas or performance and tradeoffs between attributes which would increase desirability of a design most may be quantified. A case study of materials selection and design in the automotive industry is presented. The methodology was applied to 6 automotive companies in the United States and Europe, and results are used to illustrate the steps followed in application.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

OPPORTUNITIES FOR THE DEVELOPMENT OF BEER TOURISM IN UKRAINE

2021 ◽  
Vol 296 (4) ◽  
pp. 121-131
Author(s):  
MARIYA LUSHCHYK ◽  
Keyword(s):  
Main Product ◽  
Beer Industry ◽  
Current State ◽  
State Budgets ◽  
Organizational Work ◽  
Effective Policy ◽  
Beer Tourism ◽  
Main Components ◽  
Opinion Polls

The article describes the current state of development of beer tourism in Ukraine. In particular, the theoretical aspects of the development of beer tourism are studied: the ambiguity of approaches to the interpretation of the concept of beer tourism is pointed out; the subspecies of beer tourism are singled out and the main components of the beer tour are indicated in terms of their difference from other types of tours. The main variants of classifications of types of beer as the main product of beer tourism on the following signs are described: according to GOST 29018−91; GOST 3473-78, depending on the mass fraction of dry matter in the initial wort and the method of fermentation (the so-called international classification of beer). According to opinion polls, the key parameters of a typical portrait of the average beer consumer, and, consequently, a potential customer of a beer tour are given − gender, age, place of residence, consumer wealth, volume and location of consumption, preferences on type, price and packaging of beer. The economic indicators of the beer industry in Ukraine in the last decade are characterized: the causes and consequences of the beer crisis in Ukraine in 2013-2014, the activities and portfolios of beer brands of key players in the beer market of Ukraine − corporations SUN InBev Ukraine, Carlsberg Ukraine (Carlsberg Ukraine), Oasis CIS («First Private Brewery») and Obolon. The possibilities of craft brewing in Ukraine are analyzed, a brief description of the key craft breweries of Ukraine (VARVAR, PRAVDA Beer Theater, Collider, Tsypa Brewery, Bierwille, White Rabbit, Andrii’s Craft Brewery, K&F Brewery) is given. The information on top locations of beer tourism by regions and the main beer festivals and events of the country is systematized. Problems and perspective directions of development of domestic beer tourism are defined. It was found that the scale of beer tours in Ukraine is not well studied, however, with proper organizational work, beer tourism and, accordingly, beer tours in the country can significantly replenish the amount of tax revenues to local and state budgets, which will lead to effective policy and business revival. activity that will affect the national economy.

scholarly journals Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)

2018 ◽  
Vol 3 ◽  
pp. 32
Author(s):  
Mesran Mesran ◽  
Selpi Anita ◽  
Ronda Deli Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Decision Makers ◽  
Electre Method ◽  
The Right ◽  
Assessment Result ◽  
Selection Of

One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.

scholarly journals Evaluation and Selection of Nigerian Third-Party Logistics Service Providers Using Multi-Criteria Decision Models

2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Decision Makers ◽  
Third Party ◽  
Decision Models ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Selection Of

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.

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