scholarly journals A Systematic Technique to Prioritization of Biodiversity Conservation Approaches in Nigeria

2021 ◽  
Vol 13 (16) ◽  
pp. 9161
Author(s):  
Valentine E. Nnadi ◽  
Christian N. Madu ◽  
Ikenna C. Ezeasor
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Capacity Building ◽  
Biodiversity Conservation ◽  
Ecosystem Service ◽  
Search Algorithm ◽  
Policy Formulation ◽  
Analytic Hierarchy ◽  
Priority Index ◽  
A Priority

There are generally no acceptable views on the conservation of biodiversity because there are no known best approaches to that. This has presented a challenge on what and how to conserve in developing countries like Nigeria. This paper used a multi-criteria decision-making model based on the Analytic Hierarchy Process (AHP) to elicit experts’ opinions on biodiversity conservation approaches and their corresponding conservation targets. The rationality of the experts was checked by measuring their consistency in the decision-making process. A greedy search algorithm based on linear programming application was also used for resource allocation. This technique is holistic and allows the decision maker to consider all pertinent factors. The approach allows policy makers to integrate worldviews; culture; diverse flexibility of concerned communities and other stakeholders in identifying conservation practices to achieve sustainability. In terms of current performance for the biodiversity conservation approaches; the conservation experts rated their performance on Ecosystem-service-based approach high with the priority index of 0.460. Their performances on Area- and Species-based approaches are ranked second and third with priority indexes of 0.288 and 0.252 respectively. Conversely; in the case of expectations; Ecosystem service is the most important with a priority index of 0.438 followed by Area-based with a priority index of 0.353 and Species–based with a priority index of 0.209. The Ecosystem-service based approach has the highest contribution coefficient. Resources are allocated accordingly; in form of capacity building; based on the priorities that were obtained. The research is a rights-based tool for capacity building; and a paradigm shift from the purely scientific approach to decision-making. It is designed to bridge a scientific gap between policy formulation and resource allocation in biodiversity conservation.

scholarly journals A A RESOURCE ALLOCATION PROBLEM IN HIGHER EDUCATION WITH INTEGRATED MULTICRITERIA DECISION MAKING

Sepren ◽  
2020 ◽  
Vol 1 (02) ◽  
pp. 34-45
Author(s):  
Dame Ifa Sihombing ◽  
Lamtiur Sinambela ◽  
Labuan Nababan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Resource Allocation ◽  
Goal Programming ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Priority Ranking ◽  
Education Resource ◽  
Gp Model

This paper  analyzes forms of resource allocation problems in higher education. Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally is such a way that performance of universities can be improved. It combines two of the most extended multicriteria decision making techniques: the Analytic Hierarchy Process (AHP) and Goal Programming (GP). The AHP approach is used in evaluation all criteria such as qualitative and quantitative factors. Then the Goal Programming (GP) model incorporating the constraints to select the best set of all goals without exceeding the limited avalaible resources. In this paper two commercial packages are used : Expert Choice for determining the AHP priority ranking of the projects, and LINGO 17 for solving the GP model.

scholarly journals A multi-criteria optimization and decision-making approach for improvement of food engineering processes

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Alik Abakarov ◽  
Yuri Sushkov ◽  
Rodolfo H. Mascheroni
Keyword(s):  
Experimental Data ◽  
Decision Making ◽  
Search Algorithm ◽  
Osmotic Dehydration ◽  
Random Search ◽  
Linear Regression Analysis ◽  
Rehydration Ratio ◽  
Analytic Hierarchy ◽  
Food Engineering ◽  
Criteria Weights

The objective of this study was to propose a multi-criteria optimization and decision-making technique to solve food engineering problems. This technique was demonstrated using experimental data obtained on osmotic dehydration of carrot cubes in a sodium chloride solution. The Aggregating Functions Approach, the Adaptive Random Search Algorithm, and the Penalty Functions Approach were used in this study to compute the initial set of non-dominated or Pareto-optimal solutions. Multiple non-linear regression analysis was performed on a set of experimental data in order to obtain particular multi-objective functions (responses), namely water loss, solute gain, rehydration ratio, three different colour criteria of rehydrated product, and sensory evaluation (organoleptic quality). Two multi-criteria decision-making approaches, the Analytic Hierarchy Process (AHP) and the Tabular Method (TM), were used simultaneously to choose the best alternative among the set of non-dominated solutions. The multi-criteria optimization and decision-making technique proposed in this study can facilitate the assessment of criteria weights, giving rise to a fairer, more consistent, and adequate final compromised solution or food process. This technique can be useful to food scientists in research and education, as well as to engineers involved in the improvement of a variety of food engineering processes.

scholarly journals A multi-criteria optimization and decision-making approach for improvement of food engineering processes

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Alik Abakarov ◽  
Yuri Sushkov ◽  
Rodolfo H. Mascheroni
Keyword(s):  
Experimental Data ◽  
Decision Making ◽  
Search Algorithm ◽  
Osmotic Dehydration ◽  
Random Search ◽  
Linear Regression Analysis ◽  
Rehydration Ratio ◽  
Analytic Hierarchy ◽  
Food Engineering ◽  
Criteria Weights

The objective of this study was to propose a multi-criteria optimization and decision-making technique to solve food engineering problems. This technique was demonstrated using experimental data obtained on osmotic dehydration of carrot cubes in a sodium chloride solution. The Aggregating Functions Approach, the Adaptive Random Search Algorithm, and the Penalty Functions Approach were used in this study to compute the initial set of non-dominated or Pareto-optimal solutions. Multiple non-linear regression analysis was performed on a set of experimental data in order to obtain particular multi-objective functions (responses), namely water loss, solute gain, rehydration ratio, three different colour criteria of rehydrated product, and sensory evaluation (organoleptic quality). Two multi-criteria decision-making approaches, the Analytic Hierarchy Process (AHP) and the Tabular Method (TM), were used simultaneously to choose the best alternative among the set of non-dominated solutions. The multi-criteria optimization and decision-making technique proposed in this study can facilitate the assessment of criteria weights, giving rise to a fairer, more consistent, and adequate final compromised solution or food process. This technique can be useful to food scientists in research and education, as well as to engineers involved in the improvement of a variety of food engineering processes.

scholarly journals The ecosystem service of sense of place: benefits for human well-being and biodiversity conservation

2015 ◽  
Vol 43 (2) ◽  
pp. 117-127 ◽  
Author(s):  
ANNA HAUSMANN ◽  
ROB SLOTOW ◽  
JONATHAN K. BURNS ◽  
ENRICO DI MININ
Keyword(s):  
Decision Making ◽  
Ecosystem Services ◽  
Biodiversity Conservation ◽  
Sense Of Place ◽  
Ecosystem Service ◽  
Economic Value ◽  
Well Being ◽  
Psychological Benefits ◽  
Essential Components ◽  
Potential Benefits

SUMMARYAssessing the cultural benefits provided by non-market ecosystem services can contribute previously unknown information to supplement conservation decision-making. The concept of sense of place embeds all dimensions of peoples’ perceptions and interpretations of the environment, such as attachment, identity or symbolic meaning, and has the potential to link social and ecological issues. This review contains: (1) an evaluation of the importance of sense of place as an ecosystem service; and (2) comprehensive discussion as to how incorporating sense of place in an evaluation can uncover potential benefits for both biodiversity conservation and human well-being. Sense of place provides physical and psychological benefits to people, and has neglected economic value. The biodiversity-related experiences are essential components of the service that need to be further explored. A conceptual framework was used to explore how the existing knowledge on sense of place derived from other fields can be used to inform conservation decision-making, but further research is needed to fill existing gaps in knowledge. This review contributes to a better understanding of the role biodiversity plays in human well-being, and should inform the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES).

scholarly journals REFLECTIONS: MATHEMATICAL PRINCIPLES OF DECISION MAKING

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Birsen Karpak
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Sensitivity Analysis ◽  
Analytic Hierarchy Process ◽  
Analytic Network Process ◽  
Time Dependent ◽  
Pairwise Comparisons ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process

This article discusses my reflections on Mathematical Principles of Decision Making by Thomas Saaty  (Saaty T. L., 2010). In this book, Saaty very clearly explains his Analytic Hierarchy Process (AHP) theory for measuring both tangible and intangible factors. Experts judgments are elicited about the dominance of a factor over another one via pairwise comparisons using an absolute scale and priorities of the factors are derived. The important concepts of the AHP such as compatibility index, validation, sensitivity analysis for testing the robustness of the priorities derived, and its generalization to structures with dependence and feedback, and the Analytic Network Process (ANP) are given. Extensions of the theory to complex decisions involving benefits, opportunities, costs and risks and applications to resource allocation and conflict resolution are included, as well as the generalization to continuous and time dependent judgments is also covered.https://doi.org/10.13033/ijahp.v9i3.521  

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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.

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