scholarly journals DIVE SITE ATTRACTIVENESS INDEX (DSAI) AS AN INNOVATION IN SCUBA DIVING TOURISM: A CASE OF PERHENTIAN ISLANDS

2021 ◽  
Author(s):  
Nurul Haqimin Mohd Salleh ◽  
◽  
Norlinda Mohd Rozar ◽  
Noor Apandi Osnin ◽  
Mohd Safuan Che Din ◽  
...  
Keyword(s):  
Decision Makers ◽  
Marine Tourism ◽  
Marine Life ◽  
Index Model ◽  
Scuba Divers ◽  
New Information ◽  
Proposed Model ◽  
Coral Health ◽  
Hierarchy Process ◽  
Main Attraction

Dive sites which are home to various forms of marine life, unique structures and corals have become the main attraction for scuba divers. Divers normally choose the most attractive diving sites by visiting dive centers or getting referrals from other divers. However, there is problem in conventional subjective judgments where no standard measures have been considered. As a result, the judgments on dive site attractiveness may satisfy some divers but not others. To avoid these uncertainties, this research innovatively developed the world’s first index model for the attractiveness a dive site. Eight factors have been carefully selected, namely visibility, current stability, uniqueness of underwater scenery, coral health, the immensity of the coral reef, diversity and density of marine life. Then, these identified factors were ranked and assessed by using an Analytical Hierarchy Process (AHP) and Evidential Reasoning (ER). Finally, all dive sites are indexed so it can be compared with others for better decision-making. To test the applicability of this proposed model, 22 dive sites in Perhentian Island were successfully assessed, indexed, and mapped. Terumbu Tiga (T3), Sail Rock and Tokong Laut were indexed as the top three dive sites in Perhentian Islands. The results also showed that the most profound factor that determined the attractiveness of a dive site was the diversity of its marine life followed by the diversity of its coral species, and the uniqueness of its underwater scenery. Practically, this model can be applied and widely used for indexing all dive sites in the world based on decision-makers’ preferences. It is expected that this index model will benefit divers, dive centers, marine parks, and related agencies by providing a new information that can be used in marine tourism.

A Novel Integrated AHP-QFD Model for Investment Banks

2014 ◽  
Vol 548-549 ◽  
pp. 1959-1964 ◽  
Author(s):  
Hooman Mihanzadeh ◽  
Yulizar Widiatama ◽  
Marzieh Geramian Nik ◽  
Hamed Gholami ◽  
Zahra Akbardoost Laskoukalayeh
Keyword(s):  
Quality Function Deployment ◽  
Relative Weight ◽  
Design Tool ◽  
Decision Makers ◽  
Investment Banks ◽  
Investment Bank ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Internal Relationships ◽  
Structured Questionnaire

This paper proposes an effective model to integrate shareholders’ requirements with regard to Bank’s investment categories in an effort to rank the best project portfolios in order of importance whereby they reap the benefits of their secured investments. This study attempts to utilize Quality Function Deployment (QFD) in an investment bank sector, a customer oriented design tool which starts with House of Quality (HOQ). In this manner, Analytical Hierarchy Process (AHP) approach was employed to fulfill the intended HOQs through measuring the relative importance of shareholders’ needs as well as finding the relative weight of each investment more precisely. For this purpose, a well-structured questionnaire initially should be developed to identify the selection-criteria “wants” and thereby analyzing the intensity of internal relationships through cooperation with the Bank’s Decision makers (BDMs). The results of project portfolio selection revealed that Project D has been nominated as the most potential investment category, followed by Project C, Project B, Project E and Project A. Hopefully, with implementation of the proposed model, investment banks will become more adaptive and competitive.

scholarly journals A Threat Assessment Model under Uncertain Environment

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Yong Deng
Keyword(s):  
Threat Assessment ◽  
Interval Number ◽  
Decision Makers ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Optimal Interval ◽  
Proposed Model ◽  
Protection Systems ◽  
Order Preference ◽  
Hierarchy Process

Threat evaluation is extremely important to decision makers in many situations, such as military application and physical protection systems. In this paper, a new threat assessment model based on interval number to deal with the intrinsic uncertainty and imprecision in combat environment is proposed. Both objective and subjective factors are taken into consideration in the proposed model. For the objective factors, the genetic algorithm (GA) is used to search out an optimal interval number representing all the attribute values of each object. In addition, for the subjective factors, the interval Analytic Hierarchy Process (AHP) is adopted to determine each object’s threat weight according to the experience of commanders/experts. Then a discounting method is proposed to integrate the objective and subjective factors. At last, the ideal of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to obtain the threat ranking of all the objects. A real application is used to illustrate the effectiveness of the proposed model.

scholarly journals Correlated Analytic Hierarchy Process

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hsiang-Hsi Liu ◽  
Yeong-Yuh Yeh ◽  
Jih-Jeng Huang
Keyword(s):  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Analytic Network Process ◽  
Correlation Effect ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Common Effect ◽  
Proposed Model ◽  
Network Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been the most popular tool for the field of decision making in the past 30 years, because of its simplicity and rationality. Construct a hierarchy system for evaluation by decision makers. Hence, only the effect of outer-dependence can be considered in the AHP. However, besides outer-dependence, correlation is another common effect between criteria which cannot be accounted for neither by the AHP nor by the analytic network process (ANP). Hence, in this paper, we extend the AHP to consider the correlation effect. In addition, a biobjective programming model is proposed to derive the result. Furthermore, the traditional AHP can be considered as the special case of the proposed model when the correlation effect between criteria is ignored. Finally, a numerical example is given to justify the proposed method and compare the result with the AHP.

Supply chain collaboration index: an instrument to measure the depth of collaboration

2014 ◽  
Vol 21 (2) ◽  
pp. 184-204 ◽  
Author(s):  
Gopal Kumar ◽  
Rabindra Nath Banerjee
Keyword(s):  
Supply Chain ◽  
Supply Chain Collaboration ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Index Model ◽  
External Focus ◽  
Proposed Model ◽  
Index Weight ◽  
Collaborative Activities ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop and measure supply chain collaboration index and to arrange collaborative activities in terms of its importance. Design/methodology/approach – This study uses data from industries in India to compute the collaboration index. Weight for each activity of collaboration was calculated by analytic hierarchy process (AHP) and this weight was used to compute the index combined with the formula proposed by Fornell et al. Findings – Supply chain collaboration index is computed as 40.44 on a scale of 1-100. The study also arranges collaborative activities in decreasing order of importance. Practical implications – By using model of this study, a firm can benchmark its collaborative practice. They can also identify extent of practice of internal and external focus areas. Further, firms can identify which activities should require more attention and improvement. Originality/value – The study proposed a supply chain collaboration index model and calculated the index using the proposed model and data collected from India. The study used model as proposed by Fornell et al. to compute collaboration index combined with the weight computed by employing AHP.

scholarly journals REFLECTIONS ON PRIORITIZING DIVERGENT INTANGIBLE HUMANE ACTS

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Jennifer Shang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Complex Relationship ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Versatile Tool ◽  
Hierarchy Process

AHP is a versatile tool for prioritizing and making decisions.  Yet, when facing numerous alternatives with significantly different scale, decision makers often found it impossible to put them together in one matrix and compare them simultaneously. To address the issue, Thomas Saaty and I (2011) proposed a new Analytic Hierarchy Process-based structure to capture the complex relationship between various levels of activities. Without the proposed model, we may not be able to tackle alternatives that are not comparable or it may require a very large number of comparisons, as only comparable items can be compared and used to calculate meaningful priorities. In this paper, we show how to use clustering and pivots to handle this difficulty. Through the proposed method, we expand the comparison scale, build a near-consistent matrix, and allow the use of incomparable alternatives.  The proposed method helps us effectively derive priorities for alternatives with orders-of-magnitude differences like those in divergent intangible humane acts.https://doi.org/10.13033/ijahp.v9i3.536

Decision making based on intuitionistic fuzzy preference relations with additive approximate consistency

2020 ◽  
Vol 39 (3) ◽  
pp. 4041-4058
Author(s):  
Fang Liu ◽  
Xu Tan ◽  
Hui Yang ◽  
Hui Zhao
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Real Interval ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Fuzzy Preference Relations ◽  
Novel Concept ◽  
Fuzzy Weights ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations (IFPRs) have the natural ability to reflect the positive, the negative and the non-determinative judgements of decision makers. A decision making model is proposed by considering the inherent property of IFPRs in this study, where the main novelty comes with the introduction of the concept of additive approximate consistency. First, the consistency definitions of IFPRs are reviewed and the underlying ideas are analyzed. Second, by considering the allocation of the non-determinacy degree of decision makers’ opinions, the novel concept of approximate consistency for IFPRs is proposed. Then the additive approximate consistency of IFPRs is defined and the properties are studied. Third, the priorities of alternatives are derived from IFPRs with additive approximate consistency by considering the effects of the permutations of alternatives and the allocation of the non-determinacy degree. The rankings of alternatives based on real, interval and intuitionistic fuzzy weights are investigated, respectively. Finally, some comparisons are reported by carrying out numerical examples to show the novelty and advantage of the proposed model. It is found that the proposed model can offer various decision schemes due to the allocation of the non-determinacy degree of IFPRs.

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 A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals Facility location selection for the furniture industry of Bangladesh: Comparative AHP and FAHP analysis

2021 ◽  
Vol 13 ◽  
pp. 184797902110308
Author(s):  
Md Nazmul Hasan Suman ◽  
Nagib MD Sarfaraj ◽  
Fuad Ahmed Chyon ◽  
Md Rafiul Islsm Fahim
Keyword(s):  
Facility Location ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Facility Location Problem ◽  
Decision Makers ◽  
Energy Availability ◽  
Furniture Industry ◽  
Data Set ◽  
Location Selection ◽  
Hierarchy Process

The furniture industry is growing to a great extent in Bangladesh. Many market researchers believe that the industry has enormous potentiality. However, the expansion of this industry may face complexities within a few years. Due to the wrong selection of facilities, many organizations failed to earn profit as expected. It also needs a large investment. Selecting a suitable place for a new facility is going to be the biggest question of upcoming years. This study aimed to analyze Bangladesh’s furniture industry, address the facility location problem, and provide a constructive solution to the decision-makers. In this study, seven criteria were considered: availability of raw materials, transportations, skilled labor, proximity to customers, energy availability, economic zone facility, and environmental impact, and five ideal locations or alternatives: Khulna, Chattogram, Bogura, Gazipur, and Manikganj. Thirty-four experts took part in the survey to analyze the significant criteria for selecting a furniture industry’s facility location and alternatives or potential locations for the facility. The Analytical Hierarchy Process (AHP) and Fuzzy AHP methods (FAHP), two MCDM techniques, were used to analyze the data set. A sensitivity analysis was done to determine the model’s robustness for any critical changes in the real world. The result showed that ‘energy availability is the most significant criterion to select a facility location for the furniture industry, where it got 35.1% criteria weight in AHP and 33.9% in FAHP. ‘Chattogram’ was selected as the most suitable place containing 33.74% normalized weight in AHP and 33.81% normalized weight in FAHP.

scholarly journals Optimizing a Reverse Supply Chain Network for Electronic Waste under Risk and Uncertain Factors

2021 ◽  
Vol 11 (4) ◽  
pp. 1946
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Tham Thi Tran
Keyword(s):  
Supply Chain ◽  
Electronic Waste ◽  
Decision Makers ◽  
Reverse Supply Chain ◽  
Satisfactory Solution ◽  
Level Of Satisfaction ◽  
Proposed Model ◽  
Objective Value ◽  
The Right ◽  
The Impact

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.

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